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Sparse contour templates of human shapes are first generated on the basis of a point distribution model (PDM), then a template matching step is applied to detect humans. To reduce the detecting time complexity and improve the detection accuracy, we propose to take the ratio and distribution trend of foreground pixels inside each detecting window into consideration. A tracking method is further applied to deal with the short-term occlusions and false alarms. The experimental results show that our method can efficiently detect pedestrians in videos of crowded scenes.</div> <br /> </div> <div id="articleSubject"> <h4>Keywords</h4> <br /> <div>Pedestrian Detection; Sparse Contour; Foreground Distribution Trend; Crowded Scene;</div> <br /> </div> <div id="articleCitations"> <h4>References</h4> <br /> <div> <p>P. Dollar, C. Wojek, B. Schiele and P. Perona, "Pedestrian detection: an evaluation of the state of the art," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 4, pp. 743–761, 2012.</p> <p>R. Benenson, M. Omran, J. Hosang and B. Schiele, "Ten years of pedestrian detection, what have we learned?," in Proceedings of the European Conference on Computer Vision, CVRSUAD Workshop, Zurich, 2014, pp. 613–627</p> <p>J. Yan, X. Zhang, Z. Lei, S. Liao and S. Li, "Robust multi-resolution pedestrian detection in traffic scenes," in Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, 2013, pp. 3033-3040.</p> <p>P.-T. Huang, Y.-M. Chan, L.-C. Fu, S.-S. Huang, P.-Y. Hsiao, W.-Y. Wu, C.-C. Lin, K.-C. Chang and P.-M. Hsu, "An image-range fusion pedestrian detection system in low illumination conditions," in Proceedings of the IPPR Conference on Computer Vision, Graphics, and Image Processing, Taiwan, 2014.</p> <p>W.-J. Liao, C.-W. Lin, C.-S. Chen and Y.-P. Hung, "Combining spatiotemporal background modeling and random forest classifier for foreground segmentation and shadow removal," in Proceedings of the IPPR Conference on Computer Vision, Graphics, and Image Processing, Taiwan, 2014.</p> <p>S. Tang, M. Andriluka, A. Milan, K. Schindler and S. R. a. B. Schiele, "Learning people detectors for tracking in crowded scenes," in Proceedings of the IEEE International Conference on Computer Vision, Sydney, NSW, 2013, pp. 1049-1056.</p> <p>M.-C. Hu, W.-H. Cheng, C.-S. Hu, J.-L. Wu and J.-W. Li, "Efficient human detection in crowded environment," Multimedia Systems, pp. 1-11, 2014.</p> <p>T. F. Cootes, C. J. Taylor, D. H. Cooper and J. Graham, "Active shape models-their training and application," Computer Vision and Image Understanding, vol. 61, no. 1, pp. 38-59, 1995.</p> <p>C. Beleznai and H. Bischof, "Fast human detection in crowded scenes by contour integration and local shape estimation," in Proceedings of the IEEE Computer Vision and Pattern Recognition, Miami, FL, 2009, pp. 2246-2253.</p> <p>R. Fisher, "Caviar dataset," [Online]. Available: http://homepages.inf.ed.ac.uk/rbf/CAVIAR/.</p> </div> <br /> </div> Full Text: <a href="http://it-in-industry.com/issue/archive/papers/38.html" class="file" target="_parent">PDF</a> <div class="separator"></div> <h3>Refbacks</h3> <ul class="plain"> <li>There are currently no refbacks.</li> </ul> <br /><br /> <a target="_new" rel="license" href="http://creativecommons.org/licenses/by/3.0/"> <img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by/3.0/80x15.png"/> </a> <br/> This work is licensed under a <a rel="license" target="_new" href="http://creativecommons.org/licenses/by/3.0/">Creative Commons Attribution 3.0 License</a>. <br /><br /> <p><img src="index_files/blocks_A1_Innovation.jpg" alt="IT in Innovation" width="207" height="46" /> <img src="index_files/blocks_A1_Business.jpg" alt="IT in Business" width="207" height="46" /> <img src="index_files/blocks_A1_Engineering.jpg" alt="IT in Engineering" width="207" height="46" /> <img src="index_files/blocks_A1_Health.jpg" alt="IT in Health" width="207" height="46" /> <img src="index_files/blocks_A1_Science.jpg" alt="IT in Science" width="207" height="46" /> <img src="index_files/blocks_A1_Design.jpg" alt="IT in Design" width="207" height="46" /> <img src="index_files/blocks_A1_Fashion.jpg" alt="IT in Fashion" width="207" height="46" /></p> IT in Industry <a href="http://www.it-in-industry.com">http://www.it-in-industry.com</a> ISSN (Online): 2203-1731; ISSN (Print): 2204-0595 <br /> </div> </div> </div> </div> </body> </html>