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camera</title> <meta name="description" content="Search results for: RGB-D camera"> <meta name="keywords" content="RGB-D camera"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="RGB-D camera"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 590</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: RGB-D camera</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">590</span> Constrained RGBD SLAM with a Prior Knowledge of the Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kathia%20Melbouci">Kathia Melbouci</a>, <a href="https://publications.waset.org/abstracts/search?q=Sylvie%20Naudet%20Collette"> Sylvie Naudet Collette</a>, <a href="https://publications.waset.org/abstracts/search?q=Vincent%20Gay-Bellile"> Vincent Gay-Bellile</a>, <a href="https://publications.waset.org/abstracts/search?q=Omar%20Ait-Aider"> Omar Ait-Aider</a>, <a href="https://publications.waset.org/abstracts/search?q=Michel%20Dhome"> Michel Dhome</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we handle the problem of real time localization and mapping in indoor environment assisted by a partial prior 3D model, using an RGBD sensor. The proposed solution relies on a feature-based RGBD SLAM algorithm to localize the camera and update the 3D map of the scene. To improve the accuracy and the robustness of the localization, we propose to combine in a local bundle adjustment process, geometric information provided by a prior coarse 3D model of the scene (e.g. generated from the 2D floor plan of the building) along with RGBD data from a Kinect camera. The proposed approach is evaluated on a public benchmark dataset as well as on real scene acquired by a Kinect sensor. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SLAM" title="SLAM">SLAM</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20localization" title=" global localization"> global localization</a>, <a href="https://publications.waset.org/abstracts/search?q=3D%20sensor" title=" 3D sensor"> 3D sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=bundle%20adjustment" title=" bundle adjustment"> bundle adjustment</a>, <a href="https://publications.waset.org/abstracts/search?q=3D%20model" title=" 3D model"> 3D model</a> </p> <a href="https://publications.waset.org/abstracts/44987/constrained-rgbd-slam-with-a-prior-knowledge-of-the-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44987.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">413</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">589</span> Video Sharing System Based On Wi-fi Camera</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qidi%20Lin">Qidi Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Jinbin%20Huang"> Jinbin Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Weile%20Liang"> Weile Liang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces a video sharing platform based on WiFi, which consists of camera, mobile phone and PC server. This platform can receive wireless signal from the camera and show the live video on the mobile phone captured by camera. In addition that, it is able to send commands to camera and control the camera’s holder to rotate. The platform can be applied to interactive teaching and dangerous area’s monitoring and so on. Testing results show that the platform can share the live video of mobile phone. Furthermore, if the system’s PC sever and the camera and many mobile phones are connected together, it can transfer photos concurrently. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wifi%20Camera" title="Wifi Camera">Wifi Camera</a>, <a href="https://publications.waset.org/abstracts/search?q=socket%20mobile" title=" socket mobile"> socket mobile</a>, <a href="https://publications.waset.org/abstracts/search?q=platform%20video%20monitoring" title=" platform video monitoring"> platform video monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20control" title=" remote control"> remote control</a> </p> <a href="https://publications.waset.org/abstracts/31912/video-sharing-system-based-on-wi-fi-camera" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31912.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">336</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">588</span> A Study of Effective Stereo Matching Method for Long-Wave Infrared Camera Module</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hyun-Koo%20Kim">Hyun-Koo Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Yonghun%20Kim"> Yonghun Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong-Hoon%20Kim"> Yong-Hoon Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Ju%20Hee%20Lee"> Ju Hee Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Myungho%20Song"> Myungho Song</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we have described an efficient stereo matching method and pedestrian detection method using stereo types LWIR camera. We compared with three types stereo camera algorithm as block matching, ELAS, and SGM. For pedestrian detection using stereo LWIR camera, we used that SGM stereo matching method, free space detection method using u/v-disparity, and HOG feature based pedestrian detection. According to testing result, SGM method has better performance than block matching and ELAS algorithm. Combination of SGM, free space detection, and pedestrian detection using HOG features and SVM classification can detect pedestrian of 30m distance and has a distance error about 30 cm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=advanced%20driver%20assistance%20system" title="advanced driver assistance system">advanced driver assistance system</a>, <a href="https://publications.waset.org/abstracts/search?q=pedestrian%20detection" title=" pedestrian detection"> pedestrian detection</a>, <a href="https://publications.waset.org/abstracts/search?q=stereo%20matching%20method" title=" stereo matching method"> stereo matching method</a>, <a href="https://publications.waset.org/abstracts/search?q=stereo%20long-wave%20IR%20camera" title=" stereo long-wave IR camera"> stereo long-wave IR camera</a> </p> <a href="https://publications.waset.org/abstracts/58413/a-study-of-effective-stereo-matching-method-for-long-wave-infrared-camera-module" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58413.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">413</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">587</span> Image Features Comparison-Based Position Estimation Method Using a Camera Sensor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jinseon%20Song">Jinseon Song</a>, <a href="https://publications.waset.org/abstracts/search?q=Yongwan%20Park"> Yongwan Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, propose method that can user’s position that based on database is built from single camera. Previous positioning calculate distance by arrival-time of signal like GPS (Global Positioning System), RF(Radio Frequency). However, these previous method have weakness because these have large error range according to signal interference. Method for solution estimate position by camera sensor. But, signal camera is difficult to obtain relative position data and stereo camera is difficult to provide real-time position data because of a lot of image data, too. First of all, in this research we build image database at space that able to provide positioning service with single camera. Next, we judge similarity through image matching of database image and transmission image from user. Finally, we decide position of user through position of most similar database image. For verification of propose method, we experiment at real-environment like indoor and outdoor. Propose method is wide positioning range and this method can verify not only position of user but also direction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=positioning" title="positioning">positioning</a>, <a href="https://publications.waset.org/abstracts/search?q=distance" title=" distance"> distance</a>, <a href="https://publications.waset.org/abstracts/search?q=camera" title=" camera"> camera</a>, <a href="https://publications.waset.org/abstracts/search?q=features" title=" features"> features</a>, <a href="https://publications.waset.org/abstracts/search?q=SURF%28Speed-Up%20Robust%20Features%29" title=" SURF(Speed-Up Robust Features)"> SURF(Speed-Up Robust Features)</a>, <a href="https://publications.waset.org/abstracts/search?q=database" title=" database"> database</a>, <a href="https://publications.waset.org/abstracts/search?q=estimation" title=" estimation"> estimation</a> </p> <a href="https://publications.waset.org/abstracts/11844/image-features-comparison-based-position-estimation-method-using-a-camera-sensor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11844.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">349</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">586</span> Multichannel Object Detection with Event Camera</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rafael%20Iliasov">Rafael Iliasov</a>, <a href="https://publications.waset.org/abstracts/search?q=Alessandro%20Golkar"> Alessandro Golkar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Object detection based on event vision has been a dynamically growing field in computer vision for the last 16 years. In this work, we create multiple channels from a single event camera and propose an event fusion method (EFM) to enhance object detection in event-based vision systems. Each channel uses a different accumulation buffer to collect events from the event camera. We implement YOLOv7 for object detection, followed by a fusion algorithm. Our multichannel approach outperforms single-channel-based object detection by 0.7% in mean Average Precision (mAP) for detection overlapping ground truth with IOU = 0.5. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=event%20camera" title="event camera">event camera</a>, <a href="https://publications.waset.org/abstracts/search?q=object%20detection%20with%20multimodal%20inputs" title=" object detection with multimodal inputs"> object detection with multimodal inputs</a>, <a href="https://publications.waset.org/abstracts/search?q=multichannel%20fusion" title=" multichannel fusion"> multichannel fusion</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title=" computer vision"> computer vision</a> </p> <a href="https://publications.waset.org/abstracts/190247/multichannel-object-detection-with-event-camera" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190247.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">27</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">585</span> Subpixel Corner Detection for Monocular Camera Linear Model Research</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Guorong%20Sui">Guorong Sui</a>, <a href="https://publications.waset.org/abstracts/search?q=Xingwei%20Jia"> Xingwei Jia</a>, <a href="https://publications.waset.org/abstracts/search?q=Fei%20Tong"> Fei Tong</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiumin%20Gao"> Xiumin Gao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Camera calibration is a fundamental issue of high precision noncontact measurement. And it is necessary to analyze and study the reliability and application range of its linear model which is often used in the camera calibration. According to the imaging features of monocular cameras, a camera model which is based on the image pixel coordinates and three dimensional space coordinates is built. Using our own customized template, the image pixel coordinate is obtained by the subpixel corner detection method. Without considering the aberration of the optical system, the feature extraction and linearity analysis of the line segment in the template are performed. Moreover, the experiment is repeated 11 times by constantly varying the measuring distance. At last, the linearity of the camera is achieved by fitting 11 groups of data. The camera model measurement results show that the relative error does not exceed 1%, and the repeated measurement error is not more than 0.1 mm magnitude. Meanwhile, it is found that the model has some measurement differences in the different region and object distance. The experiment results show this linear model is simple and practical, and have good linearity within a certain object distance. These experiment results provide a powerful basis for establishment of the linear model of camera. These works will have potential value to the actual engineering measurement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=camera%20linear%20model" title="camera linear model">camera linear model</a>, <a href="https://publications.waset.org/abstracts/search?q=geometric%20imaging%20relationship" title=" geometric imaging relationship"> geometric imaging relationship</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20pixel%20coordinates" title=" image pixel coordinates"> image pixel coordinates</a>, <a href="https://publications.waset.org/abstracts/search?q=three%20dimensional%20space%20coordinates" title=" three dimensional space coordinates"> three dimensional space coordinates</a>, <a href="https://publications.waset.org/abstracts/search?q=sub-pixel%20corner%20detection" title=" sub-pixel corner detection"> sub-pixel corner detection</a> </p> <a href="https://publications.waset.org/abstracts/77747/subpixel-corner-detection-for-monocular-camera-linear-model-research" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77747.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">277</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">584</span> X-Corner Detection for Camera Calibration Using Saddle Points</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulrahman%20S.%20Alturki">Abdulrahman S. Alturki</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20S.%20Loomis"> John S. Loomis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper discusses a corner detection algorithm for camera calibration. Calibration is a necessary step in many computer vision and image processing applications. Robust corner detection for an image of a checkerboard is required to determine intrinsic and extrinsic parameters. In this paper, an algorithm for fully automatic and robust X-corner detection is presented. Checkerboard corner points are automatically found in each image without user interaction or any prior information regarding the number of rows or columns. The approach represents each X-corner with a quadratic fitting function. Using the fact that the X-corners are saddle points, the coefficients in the fitting function are used to identify each corner location. The automation of this process greatly simplifies calibration. Our method is robust against noise and different camera orientations. Experimental analysis shows the accuracy of our method using actual images acquired at different camera locations and orientations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=camera%20calibration" title="camera calibration">camera calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=corner%20detector" title=" corner detector"> corner detector</a>, <a href="https://publications.waset.org/abstracts/search?q=edge%20detector" title=" edge detector"> edge detector</a>, <a href="https://publications.waset.org/abstracts/search?q=saddle%20points" title=" saddle points"> saddle points</a> </p> <a href="https://publications.waset.org/abstracts/40538/x-corner-detection-for-camera-calibration-using-saddle-points" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40538.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">406</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">583</span> Frame Camera and Event Camera in Stereo Pair for High-Resolution Sensing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khen%20Cohen">Khen Cohen</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Yankelevich"> Daniel Yankelevich</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Mendlovic"> David Mendlovic</a>, <a href="https://publications.waset.org/abstracts/search?q=Dan%20Raviv"> Dan Raviv</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We present a 3D stereo system for high-resolution sensing in both the spatial and the temporal domains by combining a frame-based camera and an event-based camera. We establish a method to merge both devices into one unite system and introduce a calibration process, followed by a correspondence technique and interpolation algorithm for 3D reconstruction. We further provide quantitative analysis about our system in terms of depth resolution and additional parameter analysis. We show experimentally how our system performs temporal super-resolution up to effectively 1ms and can detect fast-moving objects and human micro-movements that can be used for micro-expression analysis. We also demonstrate how our method can extract colored events for an event-based camera without any degradation in the spatial resolution, compared to a colored filter array. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DVS-CIS%20stereo%20vision" title="DVS-CIS stereo vision">DVS-CIS stereo vision</a>, <a href="https://publications.waset.org/abstracts/search?q=micro-movements" title=" micro-movements"> micro-movements</a>, <a href="https://publications.waset.org/abstracts/search?q=temporal%20super-resolution" title=" temporal super-resolution"> temporal super-resolution</a>, <a href="https://publications.waset.org/abstracts/search?q=3D%20reconstruction" title=" 3D reconstruction"> 3D reconstruction</a> </p> <a href="https://publications.waset.org/abstracts/143524/frame-camera-and-event-camera-in-stereo-pair-for-high-resolution-sensing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143524.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">297</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">582</span> H.263 Based Video Transceiver for Wireless Camera System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Won-Ho%20Kim">Won-Ho Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a design of H.263 based wireless video transceiver is presented for wireless camera system. It uses standard WIFI transceiver and the covering area is up to 100m. Furthermore the standard H.263 video encoding technique is used for video compression since wireless video transmitter is unable to transmit high capacity raw data in real time and the implemented system is capable of streaming at speed of less than 1Mbps using NTSC 720x480 video. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wireless%20video%20transceiver" title="wireless video transceiver">wireless video transceiver</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20surveillance%20camera" title=" video surveillance camera"> video surveillance camera</a>, <a href="https://publications.waset.org/abstracts/search?q=H.263%20video%20encoding%20digital%20signal%20processing" title=" H.263 video encoding digital signal processing"> H.263 video encoding digital signal processing</a> </p> <a href="https://publications.waset.org/abstracts/12951/h263-based-video-transceiver-for-wireless-camera-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12951.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">364</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">581</span> A Wide View Scheme for Automobile's Black Box</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jaemyoung%20Lee">Jaemyoung Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We propose a wide view camera scheme for automobile's black box. The proposed scheme uses the commercially available camera lenses of which view angles are about 120°}^{\circ}°. In the proposed scheme, we extend the view angle to approximately 200° ^{\circ}° using two cameras at the front side instead of three lenses with conventional black boxes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=camera" title="camera">camera</a>, <a href="https://publications.waset.org/abstracts/search?q=black%20box" title=" black box"> black box</a>, <a href="https://publications.waset.org/abstracts/search?q=view%20angle" title=" view angle"> view angle</a>, <a href="https://publications.waset.org/abstracts/search?q=automobile" title=" automobile"> automobile</a> </p> <a href="https://publications.waset.org/abstracts/2582/a-wide-view-scheme-for-automobiles-black-box" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2582.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">413</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">580</span> Modal Analysis of a Cantilever Beam Using an Inexpensive Smartphone Camera: Motion Magnification Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hasan%20Hassoun">Hasan Hassoun</a>, <a href="https://publications.waset.org/abstracts/search?q=Jaafar%20Hallal"> Jaafar Hallal</a>, <a href="https://publications.waset.org/abstracts/search?q=Denis%20Duhamel"> Denis Duhamel</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Hammoud"> Mohammad Hammoud</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Hage%20Diab"> Ali Hage Diab</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to prove the accuracy of an inexpensive smartphone camera as a non-contact vibration sensor to recover the vibration modes of a vibrating structure such as a cantilever beam. A video of a vibrating beam is filmed using a smartphone camera and then processed by the motion magnification technique. Based on this method, the first two natural frequencies and their associated mode shapes are estimated experimentally and compared to the analytical ones. Results show a relative error of less than 4% between the experimental and analytical approaches for the first two natural frequencies of the beam. Also, for the first two-mode shapes, a Modal Assurance Criterion (MAC) value of above 0.9 between the two approaches is obtained. This slight error between the different techniques ensures the viability of a cheap smartphone camera as a non-contact vibration sensor, particularly for structures vibrating at relatively low natural frequencies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=modal%20analysis" title="modal analysis">modal analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=motion%20magnification" title=" motion magnification"> motion magnification</a>, <a href="https://publications.waset.org/abstracts/search?q=smartphone%20camera" title=" smartphone camera"> smartphone camera</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20vibration" title=" structural vibration"> structural vibration</a>, <a href="https://publications.waset.org/abstracts/search?q=vibration%20modes" title=" vibration modes"> vibration modes</a> </p> <a href="https://publications.waset.org/abstracts/127525/modal-analysis-of-a-cantilever-beam-using-an-inexpensive-smartphone-camera-motion-magnification-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/127525.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">148</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">579</span> GIS-Based Automatic Flight Planning of Camera-Equipped UAVs for Fire Emergency Response</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Sulaiman">Mohammed Sulaiman</a>, <a href="https://publications.waset.org/abstracts/search?q=Hexu%20Liu"> Hexu Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Binalhaj"> Mohamed Binalhaj</a>, <a href="https://publications.waset.org/abstracts/search?q=William%20W.%20Liou"> William W. Liou</a>, <a href="https://publications.waset.org/abstracts/search?q=Osama%20Abudayyeh"> Osama Abudayyeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Emerging technologies such as camera-equipped unmanned aerial vehicles (UAVs) are increasingly being applied in building fire rescue to provide real-time visualization and 3D reconstruction of the entire fireground. However, flight planning of camera-equipped UAVs is usually a manual process, which is not sufficient to fulfill the needs of emergency management. This research proposes a Geographic Information System (GIS)-based approach to automatic flight planning of camera-equipped UAVs for building fire emergency response. In this research, Haversine formula and lawn mowing patterns are employed to automate flight planning based on geometrical and spatial information from GIS. The resulting flight mission satisfies the requirements of 3D reconstruction purposes of the fireground, in consideration of flight execution safety and visibility of camera frames. The proposed approach is implemented within a GIS environment through an application programming interface. A case study is used to demonstrate the effectiveness of the proposed approach. The result shows that flight mission can be generated in a timely manner for application to fire emergency response. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GIS" title="GIS">GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=camera-equipped%20UAVs" title=" camera-equipped UAVs"> camera-equipped UAVs</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20flight%20planning" title=" automatic flight planning"> automatic flight planning</a>, <a href="https://publications.waset.org/abstracts/search?q=fire%20emergency%20response" title=" fire emergency response"> fire emergency response</a> </p> <a href="https://publications.waset.org/abstracts/125166/gis-based-automatic-flight-planning-of-camera-equipped-uavs-for-fire-emergency-response" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/125166.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">125</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">578</span> Object Recognition System Operating from Different Type Vehicles Using Raspberry and OpenCV</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maria%20Pavlova">Maria Pavlova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In our days, it is possible to put the camera on different vehicles like quadcopter, train, airplane and etc. The camera also can be the input sensor in many different systems. That means the object recognition like non separate part of monitoring control can be key part of the most intelligent systems. The aim of this paper is to focus of the object recognition process during vehicles movement. During the vehicle’s movement the camera takes pictures from the environment without storage in Data Base. In case the camera detects a special object (for example human or animal), the system saves the picture and sends it to the work station in real time. This functionality will be very useful in emergency or security situations where is necessary to find a specific object. In another application, the camera can be mounted on crossroad where do not have many people and if one or more persons come on the road, the traffic lights became the green and they can cross the road. In this papers is presented the system has solved the aforementioned problems. It is presented architecture of the object recognition system includes the camera, Raspberry platform, GPS system, neural network, software and Data Base. The camera in the system takes the pictures. The object recognition is done in real time using the OpenCV library and Raspberry microcontroller. An additional feature of this library is the ability to display the GPS coordinates of the captured objects position. The results from this processes will be sent to remote station. So, in this case, we can know the location of the specific object. By neural network, we can learn the module to solve the problems using incoming data and to be part in bigger intelligent system. The present paper focuses on the design and integration of the image recognition like a part of smart systems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=camera" title="camera">camera</a>, <a href="https://publications.waset.org/abstracts/search?q=object%20recognition" title=" object recognition"> object recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=OpenCV" title=" OpenCV"> OpenCV</a>, <a href="https://publications.waset.org/abstracts/search?q=Raspberry" title=" Raspberry"> Raspberry</a> </p> <a href="https://publications.waset.org/abstracts/81695/object-recognition-system-operating-from-different-type-vehicles-using-raspberry-and-opencv" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81695.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">218</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">577</span> Person Re-Identification using Siamese Convolutional Neural Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sello%20Mokwena">Sello Mokwena</a>, <a href="https://publications.waset.org/abstracts/search?q=Monyepao%20Thabang"> Monyepao Thabang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, we propose a comprehensive approach to address the challenges in person re-identification models. By combining a centroid tracking algorithm with a Siamese convolutional neural network model, our method excels in detecting, tracking, and capturing robust person features across non-overlapping camera views. The algorithm efficiently identifies individuals in the camera network, while the neural network extracts fine-grained global features for precise cross-image comparisons. The approach's effectiveness is further accentuated by leveraging the camera network topology for guidance. Our empirical analysis on benchmark datasets highlights its competitive performance, particularly evident when background subtraction techniques are selectively applied, underscoring its potential in advancing person re-identification techniques. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=camera%20network" title="camera network">camera network</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20network%20topology" title=" convolutional neural network topology"> convolutional neural network topology</a>, <a href="https://publications.waset.org/abstracts/search?q=person%20tracking" title=" person tracking"> person tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=person%20re-identification" title=" person re-identification"> person re-identification</a>, <a href="https://publications.waset.org/abstracts/search?q=siamese" title=" siamese"> siamese</a> </p> <a href="https://publications.waset.org/abstracts/171989/person-re-identification-using-siamese-convolutional-neural-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171989.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">72</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">576</span> Hand Gesture Recognition Interface Based on IR Camera</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yang-Keun%20Ahn">Yang-Keun Ahn</a>, <a href="https://publications.waset.org/abstracts/search?q=Kwang-Soon%20Choi"> Kwang-Soon Choi</a>, <a href="https://publications.waset.org/abstracts/search?q=Young-Choong%20Park"> Young-Choong Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Kwang-Mo%20Jung"> Kwang-Mo Jung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vision based user interfaces to control TVs and PCs have the advantage of being able to perform natural control without being limited to a specific device. Accordingly, various studies on hand gesture recognition using RGB cameras or depth cameras have been conducted. However, such cameras have the disadvantage of lacking in accuracy or the construction cost being large. The proposed method uses a low cost IR camera to accurately differentiate between the hand and the background. Also, complicated learning and template matching methodologies are not used, and the correlation between the fingertips extracted through curvatures is utilized to recognize Click and Move gestures. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=recognition" title="recognition">recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=hand%20gestures" title=" hand gestures"> hand gestures</a>, <a href="https://publications.waset.org/abstracts/search?q=infrared%20camera" title=" infrared camera"> infrared camera</a>, <a href="https://publications.waset.org/abstracts/search?q=RGB%20cameras" title=" RGB cameras"> RGB cameras</a> </p> <a href="https://publications.waset.org/abstracts/13373/hand-gesture-recognition-interface-based-on-ir-camera" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13373.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">405</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">575</span> An Investigation of Direct and Indirect Geo-Referencing Techniques on the Accuracy of Points in Photogrammetry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=F.%20Yildiz">F. Yildiz</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Y.%20Oturanc"> S. Y. Oturanc</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Advances technology in the field of photogrammetry replaces analog cameras with reflection on aircraft GPS/IMU system with a digital aerial camera. In this system, when determining the position of the camera with the GPS, camera rotations are also determined by the IMU systems. All around the world, digital aerial cameras have been used for the photogrammetry applications in the last ten years. In this way, in terms of the work done in photogrammetry it is possible to use time effectively, costs to be reduced to a minimum level, the opportunity to make fast and accurate. Geo-referencing techniques that are the cornerstone of the GPS / INS systems, photogrammetric triangulation of images required for balancing (interior and exterior orientation) brings flexibility to the process. Also geo-referencing process; needed in the application of photogrammetry targets to help to reduce the number of ground control points. In this study, the use of direct and indirect geo-referencing techniques on the accuracy of the points was investigated in the production of photogrammetric mapping. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=photogrammetry" title="photogrammetry">photogrammetry</a>, <a href="https://publications.waset.org/abstracts/search?q=GPS%2FIMU%20systems" title=" GPS/IMU systems"> GPS/IMU systems</a>, <a href="https://publications.waset.org/abstracts/search?q=geo-referecing" title=" geo-referecing"> geo-referecing</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20aerial%20camera" title=" digital aerial camera"> digital aerial camera</a> </p> <a href="https://publications.waset.org/abstracts/13852/an-investigation-of-direct-and-indirect-geo-referencing-techniques-on-the-accuracy-of-points-in-photogrammetry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13852.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">411</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">574</span> Self-Calibration of Fish-Eye Camera for Advanced Driver Assistance Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Atef%20Alaaeddine%20Sarraj">Atef Alaaeddine Sarraj</a>, <a href="https://publications.waset.org/abstracts/search?q=Brendan%20Jackman"> Brendan Jackman</a>, <a href="https://publications.waset.org/abstracts/search?q=Frank%20Walsh"> Frank Walsh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Tomorrow’s car will be more automated and increasingly connected. Innovative and intuitive interfaces are essential to accompany this functional enrichment. For that, today the automotive companies are competing to offer an advanced driver assistance system (ADAS) which will be able to provide enhanced navigation, collision avoidance, intersection support and lane keeping. These vision-based functions require an accurately calibrated camera. To achieve such differentiation in ADAS requires sophisticated sensors and efficient algorithms. This paper explores the different calibration methods applicable to vehicle-mounted fish-eye cameras with arbitrary fields of view and defines the first steps towards a self-calibration method that adequately addresses ADAS requirements. In particular, we present a self-calibration method after comparing different camera calibration algorithms in the context of ADAS requirements. Our method gathers data from unknown scenes while the car is moving, estimates the camera intrinsic and extrinsic parameters and corrects the wide-angle distortion. Our solution enables continuous and real-time detection of objects, pedestrians, road markings and other cars. In contrast, other camera calibration algorithms for ADAS need pre-calibration, while the presented method calibrates the camera without prior knowledge of the scene and in real-time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=advanced%20driver%20assistance%20system%20%28ADAS%29" title="advanced driver assistance system (ADAS)">advanced driver assistance system (ADAS)</a>, <a href="https://publications.waset.org/abstracts/search?q=fish-eye" title=" fish-eye"> fish-eye</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time" title=" real-time"> real-time</a>, <a href="https://publications.waset.org/abstracts/search?q=self-calibration" title=" self-calibration"> self-calibration</a> </p> <a href="https://publications.waset.org/abstracts/70853/self-calibration-of-fish-eye-camera-for-advanced-driver-assistance-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70853.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">252</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">573</span> A Simple Autonomous Hovering and Operating Control of Multicopter Using Only Web Camera</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kazuya%20Sato">Kazuya Sato</a>, <a href="https://publications.waset.org/abstracts/search?q=Toru%20Kasahara"> Toru Kasahara</a>, <a href="https://publications.waset.org/abstracts/search?q=Junji%20Kuroda"> Junji Kuroda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, an autonomous hovering control method of multicopter using only Web camera is proposed. Recently, various control method of an autonomous flight for multicopter are proposed. But, in the previously proposed methods, a motion capture system (i.e., OptiTrack) and laser range finder are often used to measure the position and posture of multicopter. To achieve an autonomous flight control of multicopter with simple equipment, we propose an autonomous flight control method using AR marker and Web camera. AR marker can measure the position of multicopter with Cartesian coordinate in three dimensional, then its position connects with aileron, elevator, and accelerator throttle operation. A simple PID control method is applied to the each operation and adjust the controller gains. Experimental result are given to show the effectiveness of our proposed method. Moreover, another simple operation method for autonomous flight control multicopter is also proposed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autonomous%20hovering%20control" title="autonomous hovering control">autonomous hovering control</a>, <a href="https://publications.waset.org/abstracts/search?q=multicopter" title=" multicopter"> multicopter</a>, <a href="https://publications.waset.org/abstracts/search?q=Web%20camera" title=" Web camera"> Web camera</a>, <a href="https://publications.waset.org/abstracts/search?q=operation" title=" operation "> operation </a> </p> <a href="https://publications.waset.org/abstracts/20333/a-simple-autonomous-hovering-and-operating-control-of-multicopter-using-only-web-camera" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20333.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">562</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">572</span> An Automated Procedure for Estimating the Glomerular Filtration Rate and Determining the Normality or Abnormality of the Kidney Stages Using an Artificial Neural Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hossain%20A.">Hossain A.</a>, <a href="https://publications.waset.org/abstracts/search?q=Chowdhury%20S.%20I."> Chowdhury S. I.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: The use of a gamma camera is a standard procedure in nuclear medicine facilities or hospitals to diagnose chronic kidney disease (CKD), but the gamma camera does not precisely stage the disease. The authors sought to determine whether they could use an artificial neural network to determine whether CKD was in normal or abnormal stages based on GFR values (ANN). Method: The 250 kidney patients (Training 188, Testing 62) who underwent an ultrasonography test to diagnose a renal test in our nuclear medical center were scanned using a gamma camera. Before the scanning procedure, the patients received an injection of ⁹⁹ᵐTc-DTPA. The gamma camera computes the pre- and post-syringe radioactive counts after the injection has been pushed into the patient's vein. The artificial neural network uses the softmax function with cross-entropy loss to determine whether CKD is normal or abnormal based on the GFR value in the output layer. Results: The proposed ANN model had a 99.20 % accuracy according to K-fold cross-validation. The sensitivity and specificity were 99.10 and 99.20 %, respectively. AUC was 0.994. Conclusion: The proposed model can distinguish between normal and abnormal stages of CKD by using an artificial neural network. The gamma camera could be upgraded to diagnose normal or abnormal stages of CKD with an appropriate GFR value following the clinical application of the proposed model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title="artificial neural network">artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=glomerular%20filtration%20rate" title=" glomerular filtration rate"> glomerular filtration rate</a>, <a href="https://publications.waset.org/abstracts/search?q=stages%20of%20the%20kidney" title=" stages of the kidney"> stages of the kidney</a>, <a href="https://publications.waset.org/abstracts/search?q=gamma%20camera" title=" gamma camera"> gamma camera</a> </p> <a href="https://publications.waset.org/abstracts/153994/an-automated-procedure-for-estimating-the-glomerular-filtration-rate-and-determining-the-normality-or-abnormality-of-the-kidney-stages-using-an-artificial-neural-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153994.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">103</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">571</span> Smart Side View Mirror Camera for Real Time System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nunziata%20Ivana%20Guarneri">Nunziata Ivana Guarneri</a>, <a href="https://publications.waset.org/abstracts/search?q=Arcangelo%20Bruna"> Arcangelo Bruna</a>, <a href="https://publications.waset.org/abstracts/search?q=Giuseppe%20Spampinato"> Giuseppe Spampinato</a>, <a href="https://publications.waset.org/abstracts/search?q=Antonio%20Buemi"> Antonio Buemi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the last decade, automotive companies have invested a lot in terms of innovation about many aspects regarding the automatic driver assistance systems. One innovation regards the usage of a smart camera placed on the car’s side mirror for monitoring the back and lateral road situation. A common road scenario is the overtaking of the preceding car and, in this case, a brief distraction or a loss of concentration can lead the driver to undertake this action, even if there is an already overtaking vehicle, leading to serious accidents. A valid support for a secure drive can be a smart camera system, which is able to automatically analyze the road scenario and consequentially to warn the driver when another vehicle is overtaking. This paper describes a method for monitoring the side view of a vehicle by using camera optical flow motion vectors. The proposed solution detects the presence of incoming vehicles, assesses their distance from the host car, and warns the driver through different levels of alert according to the estimated distance. Due to the low complexity and computational cost, the proposed system ensures real time performances. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=camera%20calibration" title="camera calibration">camera calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=ego-motion" title=" ego-motion"> ego-motion</a>, <a href="https://publications.waset.org/abstracts/search?q=Kalman%20filters" title=" Kalman filters"> Kalman filters</a>, <a href="https://publications.waset.org/abstracts/search?q=object%20tracking" title=" object tracking"> object tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20time%20systems" title=" real time systems"> real time systems</a> </p> <a href="https://publications.waset.org/abstracts/79998/smart-side-view-mirror-camera-for-real-time-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79998.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">228</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">570</span> Multiplayer RC-car Driving System in a Collaborative Augmented Reality Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kikuo%20Asai">Kikuo Asai</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuji%20Sugimoto"> Yuji Sugimoto</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We developed a prototype system for multiplayer RC-car driving in a collaborative Augmented Reality (AR) environment. The tele-existence environment is constructed by superimposing digital data onto images captured by a camera on an RC-car, enabling players to experience an augmented coexistence of the digital content and the real world. Marker-based tracking was used for estimating position and orientation of the camera. The plural RC-cars can be operated in a field where square markers are arranged. The video images captured by the camera are transmitted to a PC for visual tracking. The RC-cars are also tracked by using an infrared camera attached to the ceiling, so that the instability is reduced in the visual tracking. Multimedia data such as texts and graphics are visualized to be overlaid onto the video images in the geometrically correct manner. The prototype system allows a tele-existence sensation to be augmented in a collaborative AR environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multiplayer" title="multiplayer">multiplayer</a>, <a href="https://publications.waset.org/abstracts/search?q=RC-car" title=" RC-car"> RC-car</a>, <a href="https://publications.waset.org/abstracts/search?q=collaborative%20environment" title=" collaborative environment"> collaborative environment</a>, <a href="https://publications.waset.org/abstracts/search?q=augmented%20reality" title=" augmented reality"> augmented reality</a> </p> <a href="https://publications.waset.org/abstracts/4359/multiplayer-rc-car-driving-system-in-a-collaborative-augmented-reality-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4359.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">289</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">569</span> Development of an Autonomous Automated Guided Vehicle with Robot Manipulator under Robot Operation System Architecture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jinsiang%20Shaw">Jinsiang Shaw</a>, <a href="https://publications.waset.org/abstracts/search?q=Sheng-Xiang%20Xu"> Sheng-Xiang Xu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents the development of an autonomous automated guided vehicle (AGV) with a robot arm attached on top of it within the framework of robot operation system (ROS). ROS can provide libraries and tools, including hardware abstraction, device drivers, libraries, visualizers, message-passing, package management, etc. For this reason, this AGV can provide automatic navigation and parts transportation and pick-and-place task using robot arm for typical industrial production line use. More specifically, this AGV will be controlled by an on-board host computer running ROS software. Command signals for vehicle and robot arm control and measurement signals from various sensors are transferred to respective microcontrollers. Users can operate the AGV remotely through the TCP / IP protocol and perform SLAM (Simultaneous Localization and Mapping). An RGBD camera and LIDAR sensors are installed on the AGV, using these data to perceive the environment. For SLAM, Gmapping is used to construct the environment map by Rao-Blackwellized particle filter; and AMCL method (Adaptive Monte Carlo localization) is employed for mobile robot localization. In addition, current AGV position and orientation can be visualized by ROS toolkit. As for robot navigation and obstacle avoidance, A* for global path planning and dynamic window approach for local planning are implemented. The developed ROS AGV with a robot arm on it has been experimented in the university factory. A 2-D and 3-D map of the factory were successfully constructed by the SLAM method. Base on this map, robot navigation through the factory with and without dynamic obstacles are shown to perform well. Finally, pick-and-place of parts using robot arm and ensuing delivery in the factory by the mobile robot are also accomplished. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automated%20guided%20vehicle" title="automated guided vehicle">automated guided vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation" title=" navigation"> navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=robot%20operation%20system" title=" robot operation system"> robot operation system</a>, <a href="https://publications.waset.org/abstracts/search?q=Simultaneous%20Localization%20and%20Mapping" title=" Simultaneous Localization and Mapping"> Simultaneous Localization and Mapping</a> </p> <a href="https://publications.waset.org/abstracts/99761/development-of-an-autonomous-automated-guided-vehicle-with-robot-manipulator-under-robot-operation-system-architecture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99761.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">149</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">568</span> Improvement of Camera Calibration Based on the Relationship between Focal Length and Aberration Coefficient</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Guorong%20Sui">Guorong Sui</a>, <a href="https://publications.waset.org/abstracts/search?q=Xingwei%20Jia"> Xingwei Jia</a>, <a href="https://publications.waset.org/abstracts/search?q=Chenhui%20Yin"> Chenhui Yin</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiumin%20Gao"> Xiumin Gao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the processing of camera-based high precision and non-contact measurement, the geometric-optical aberration is always inevitably disturbing the measuring system. Moreover, the aberration is different with the different focal length, which will increase the difficulties of the system’s calibration. Therefore, to understand the relationship between the focal length as a function of aberration properties is a very important issue to the calibration of the measuring systems. In this study, we propose a new mathematics model, which is based on the plane calibration method by Zhang Zhengyou, and establish a relationship between the focal length and aberration coefficient. By using the mathematics model and carefully modified compensation templates, the calibration precision of the system can be dramatically improved. The experiment results show that the relative error is less than 1%. It is important for optoelectronic imaging systems that apply to measure, track and position by changing the camera’s focal length. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=camera%20calibration" title="camera calibration">camera calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=aberration%20coefficient" title=" aberration coefficient"> aberration coefficient</a>, <a href="https://publications.waset.org/abstracts/search?q=vision%20measurement" title=" vision measurement"> vision measurement</a>, <a href="https://publications.waset.org/abstracts/search?q=focal%20length" title=" focal length"> focal length</a>, <a href="https://publications.waset.org/abstracts/search?q=mathematics%20model" title=" mathematics model"> mathematics model</a> </p> <a href="https://publications.waset.org/abstracts/77749/improvement-of-camera-calibration-based-on-the-relationship-between-focal-length-and-aberration-coefficient" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77749.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">364</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">567</span> Analysis and Control of Camera Type Weft Straightener</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jae-Yong%20Lee">Jae-Yong Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Gyu-Hyun%20Bae"> Gyu-Hyun Bae</a>, <a href="https://publications.waset.org/abstracts/search?q=Yun-Soo%20Chung"> Yun-Soo Chung</a>, <a href="https://publications.waset.org/abstracts/search?q=Dae-Sub%20Kim"> Dae-Sub Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Jae-Sung%20Bae"> Jae-Sung Bae</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In general, fabric is heat-treated using a stenter machine in order to dry and fix its shape. It is important to shape before the heat treatment because it is difficult to revert back once the fabric is formed. To produce the product of right shape, camera type weft straightener has been applied recently to capture and process fabric images quickly. It is more powerful in determining the final textile quality rather than photo-sensor. Positioning in front of a stenter machine, weft straightener helps to spread fabric evenly and control the angle between warp and weft constantly as right angle by handling skew and bow rollers. To process this tricky procedure, the structural analysis should be carried out in advance, based on which, its control technology can be drawn. A structural analysis is to figure out the specific contact/slippage characteristics between fabric and roller. We already examined the applicability of camera type weft straightener to plain weave fabric and found its possibility and the specific working condition of machine and rollers. In this research, we aimed to explore another applicability of camera type weft straightener. Namely, we tried to figure out camera type weft straightener can be used for fabrics. To find out the optimum condition, we increased the number of rollers. The analysis is done by ANSYS software using Finite Element Analysis method. The control function is demonstrated by experiment. In conclusion, the structural analysis of weft straightener is done to identify a specific characteristic between roller and fabrics. The control of skew and bow roller is done to decrease the error of the angle between warp and weft. Finally, it is proved that camera type straightener can also be used for the special fabrics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=camera%20type%20weft%20straightener" title="camera type weft straightener">camera type weft straightener</a>, <a href="https://publications.waset.org/abstracts/search?q=structure%20analysis" title=" structure analysis"> structure analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=control" title=" control"> control</a>, <a href="https://publications.waset.org/abstracts/search?q=skew%20and%20bow%20roller" title=" skew and bow roller"> skew and bow roller</a> </p> <a href="https://publications.waset.org/abstracts/58316/analysis-and-control-of-camera-type-weft-straightener" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58316.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">292</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">566</span> Development of Intelligent Construction Management System Using Web-Camera Image and 3D Object Image</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hyeon-Seung%20Kim">Hyeon-Seung Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Bit-Na%20Cho"> Bit-Na Cho</a>, <a href="https://publications.waset.org/abstracts/search?q=Tae-Woon%20Jeong"> Tae-Woon Jeong</a>, <a href="https://publications.waset.org/abstracts/search?q=Soo-Young%20Yoon"> Soo-Young Yoon</a>, <a href="https://publications.waset.org/abstracts/search?q=Leen-Seok%20Kang"> Leen-Seok Kang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently, a construction project has been large in the size and complicated in the site work. The web-cameras are used to manage the construction site of such a large construction project. They can be used for monitoring the construction schedule as compared to the actual work image of the planned work schedule. Specially, because the 4D CAD system that the construction appearance is continually simulated in a 3D CAD object by work schedule is widely applied to the construction project, the comparison system between the real image of actual work appearance by web-camera and the simulated image of planned work appearance by 3D CAD object can be an intelligent construction schedule management system (ICON). The delayed activities comparing with the planned schedule can be simulated by red color in the ICON as a virtual reality object. This study developed the ICON and it was verified in a real bridge construction project in Korea. To verify the developed system, a web-camera was installed and operated in a case project for a month. Because the angle and zooming of the web-camera can be operated by Internet, a project manager can easily monitor and assume the corrective action. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=4D%20CAD" title="4D CAD">4D CAD</a>, <a href="https://publications.waset.org/abstracts/search?q=web-camera" title=" web-camera"> web-camera</a>, <a href="https://publications.waset.org/abstracts/search?q=ICON%20%28intelligent%20construction%20schedule%20management%20system%29" title=" ICON (intelligent construction schedule management system)"> ICON (intelligent construction schedule management system)</a>, <a href="https://publications.waset.org/abstracts/search?q=3D%20object%20image" title=" 3D object image"> 3D object image</a> </p> <a href="https://publications.waset.org/abstracts/18621/development-of-intelligent-construction-management-system-using-web-camera-image-and-3d-object-image" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18621.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">507</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">565</span> Detecting and Disabling Digital Cameras Using D3CIP Algorithm Based on Image Processing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Vignesh">S. Vignesh</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20S.%20Rangasamy"> K. S. Rangasamy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper deals with the device capable of detecting and disabling digital cameras. The system locates the camera and then neutralizes it. Every digital camera has an image sensor known as a CCD, which is retro-reflective and sends light back directly to its original source at the same angle. The device shines infrared LED light, which is invisible to the human eye, at a distance of about 20 feet. It then collects video of these reflections with a camcorder. Then the video of the reflections is transferred to a computer connected to the device, where it is sent through image processing algorithms that pick out infrared light bouncing back. Once the camera is detected, the device would project an invisible infrared laser into the camera's lens, thereby overexposing the photo and rendering it useless. Low levels of infrared laser neutralize digital cameras but are neither a health danger to humans nor a physical damage to cameras. We also discuss the simplified design of the above device that can used in theatres to prevent piracy. The domains being covered here are optics and image processing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CCD" title="CCD">CCD</a>, <a href="https://publications.waset.org/abstracts/search?q=optics" title=" optics"> optics</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20processing" title=" image processing"> image processing</a>, <a href="https://publications.waset.org/abstracts/search?q=D3CIP" title=" D3CIP"> D3CIP</a> </p> <a href="https://publications.waset.org/abstracts/1736/detecting-and-disabling-digital-cameras-using-d3cip-algorithm-based-on-image-processing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1736.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">357</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">564</span> Autonomous Ground Vehicle Navigation Based on a Single Camera and Image Processing Methods</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Auday%20Al-Mayyahi">Auday Al-Mayyahi</a>, <a href="https://publications.waset.org/abstracts/search?q=Phil%20Birch"> Phil Birch</a>, <a href="https://publications.waset.org/abstracts/search?q=William%20Wang"> William Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A vision system-based navigation for autonomous ground vehicle (AGV) equipped with a single camera in an indoor environment is presented. A proposed navigation algorithm has been utilized to detect obstacles represented by coloured mini- cones placed in different positions inside a corridor. For the recognition of the relative position and orientation of the AGV to the coloured mini cones, the features of the corridor structure are extracted using a single camera vision system. The relative position, the offset distance and steering angle of the AGV from the coloured mini-cones are derived from the simple corridor geometry to obtain a mapped environment in real world coordinates. The corridor is first captured as an image using the single camera. Hence, image processing functions are then performed to identify the existence of the cones within the environment. Using a bounding box surrounding each cone allows to identify the locations of cones in a pixel coordinate system. Thus, by matching the mapped and pixel coordinates using a projection transformation matrix, the real offset distances between the camera and obstacles are obtained. Real time experiments in an indoor environment are carried out with a wheeled AGV in order to demonstrate the validity and the effectiveness of the proposed algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autonomous%20ground%20vehicle" title="autonomous ground vehicle">autonomous ground vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation" title=" navigation"> navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=obstacle%20avoidance" title=" obstacle avoidance"> obstacle avoidance</a>, <a href="https://publications.waset.org/abstracts/search?q=vision%20system" title=" vision system"> vision system</a>, <a href="https://publications.waset.org/abstracts/search?q=single%20camera" title=" single camera"> single camera</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20processing" title=" image processing"> image processing</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrasonic%20sensor" title=" ultrasonic sensor"> ultrasonic sensor</a> </p> <a href="https://publications.waset.org/abstracts/48957/autonomous-ground-vehicle-navigation-based-on-a-single-camera-and-image-processing-methods" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48957.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">302</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">563</span> A Study on the Non-Destructive Test Characterization of Carbon Fiber Reinforced Plastics Using Thermo-Graphic Camera</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hee%20Jae%20Shin">Hee Jae Shin</a>, <a href="https://publications.waset.org/abstracts/search?q=In%20Pyo%20Cha"> In Pyo Cha</a>, <a href="https://publications.waset.org/abstracts/search?q=Min%20Sang%20Lee"> Min Sang Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Hyun%20Kyung%20Yoon"> Hyun Kyung Yoon</a>, <a href="https://publications.waset.org/abstracts/search?q=Tae%20Ho%20Kim"> Tae Ho Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Yoon%20Sun%20Lee"> Yoon Sun Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Lee%20Ku%20Kwac"> Lee Ku Kwac</a>, <a href="https://publications.waset.org/abstracts/search?q=Hong%20Gun%20Kim"> Hong Gun Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Non-destructive testing and evaluation techniques for assessing the integrity of composite structures are essential to both reduce manufacturing costs and out of service time of transport means due to maintenance. In this study, Analyze into non-destructive test characterization of carbon fiber reinforced plastics(CFRP) internal and external defects using thermo-graphic camera and transient thermography method. non-destructive testing were characterized by defect size(∅8,∅10,∅12,∅14) and depth(1.2mm,2.4mm). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Non-Destructive%20Test%20%28NDT%29" title="Non-Destructive Test (NDT)">Non-Destructive Test (NDT)</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20characteristic" title=" thermal characteristic"> thermal characteristic</a>, <a href="https://publications.waset.org/abstracts/search?q=thermographic%20camera" title=" thermographic camera"> thermographic camera</a>, <a href="https://publications.waset.org/abstracts/search?q=Carbon%20Fiber%20Reinforced%20Plastics%28CFRP%29." title=" Carbon Fiber Reinforced Plastics(CFRP)."> Carbon Fiber Reinforced Plastics(CFRP).</a> </p> <a href="https://publications.waset.org/abstracts/20078/a-study-on-the-non-destructive-test-characterization-of-carbon-fiber-reinforced-plastics-using-thermo-graphic-camera" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20078.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">535</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">562</span> Implementation of a Low-Cost Driver Drowsiness Evaluation System Using a Thermal Camera</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Isa%20Moazen">Isa Moazen</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Nahvi"> Ali Nahvi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Driver drowsiness is a major cause of vehicle accidents, and facial images are highly valuable to detect drowsiness. In this paper, we perform our research via a thermal camera to record drivers' facial images on a driving simulator. A robust real-time algorithm extracts the features using horizontal and vertical integration projection, contours, contour orientations, and cropping tools. The features are included four target areas on the cheeks and forehead. Qt compiler and OpenCV are used with two cameras with different resolutions. A high-resolution thermal camera is used for fifteen subjects, and a low-resolution one is used for a person. The results are investigated by four temperature plots and evaluated by observer rating of drowsiness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=advanced%20driver%20assistance%20systems" title="advanced driver assistance systems">advanced driver assistance systems</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20imaging" title=" thermal imaging"> thermal imaging</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20drowsiness%20detection" title=" driver drowsiness detection"> driver drowsiness detection</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20extraction" title=" feature extraction"> feature extraction</a> </p> <a href="https://publications.waset.org/abstracts/131366/implementation-of-a-low-cost-driver-drowsiness-evaluation-system-using-a-thermal-camera" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131366.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">138</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">561</span> Evaluation of Fusion Sonar and Stereo Camera System for 3D Reconstruction of Underwater Archaeological Object</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yadpiroon%20Onmek">Yadpiroon Onmek</a>, <a href="https://publications.waset.org/abstracts/search?q=Jean%20Triboulet"> Jean Triboulet</a>, <a href="https://publications.waset.org/abstracts/search?q=Sebastien%20Druon"> Sebastien Druon</a>, <a href="https://publications.waset.org/abstracts/search?q=Bruno%20Jouvencel"> Bruno Jouvencel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of this paper is to develop the 3D underwater reconstruction of archaeology object, which is based on the fusion between a sonar system and stereo camera system. The underwater images are obtained from a calibrated camera system. The multiples image pairs are input, and we first solve the problem of image processing by applying the well-known filter, therefore to improve the quality of underwater images. The features of interest between image pairs are selected by well-known methods: a FAST detector and FLANN descriptor. Subsequently, the RANSAC method is applied to reject outlier points. The putative inliers are matched by triangulation to produce the local sparse point clouds in 3D space, using a pinhole camera model and Euclidean distance estimation. The SFM technique is used to carry out the global sparse point clouds. Finally, the ICP method is used to fusion the sonar information with the stereo model. The final 3D models have a précised by measurement comparing with the real object. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=3D%20reconstruction" title="3D reconstruction">3D reconstruction</a>, <a href="https://publications.waset.org/abstracts/search?q=archaeology" title=" archaeology"> archaeology</a>, <a href="https://publications.waset.org/abstracts/search?q=fusion" title=" fusion"> fusion</a>, <a href="https://publications.waset.org/abstracts/search?q=stereo%20system" title=" stereo system"> stereo system</a>, <a href="https://publications.waset.org/abstracts/search?q=sonar%20system" title=" sonar system"> sonar system</a>, <a href="https://publications.waset.org/abstracts/search?q=underwater" title=" underwater"> underwater</a> </p> <a href="https://publications.waset.org/abstracts/73700/evaluation-of-fusion-sonar-and-stereo-camera-system-for-3d-reconstruction-of-underwater-archaeological-object" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73700.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">299</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=RGB-D%20camera&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=RGB-D%20camera&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=RGB-D%20camera&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=RGB-D%20camera&page=5">5</a></li> <li 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