Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection

<!DOCTYPE html> <html lang="en" dir="ltr"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script>  <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript>    <title>Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection</title> <meta name="description" content="Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection"> <meta name="keywords" content="Artificial intelligence, convolutional neural networks, Resnet50, VGG16."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection"> <meta name="citation_author" content="Taiwo. M. Akinmuyisitan"> <meta name="citation_author" content="John Cosmas"> <meta name="citation_publication_date" content="2024/01/15"> <meta name="citation_journal_title" content="International Journal of Computer and Systems Engineering"> <meta name="citation_volume" content="18"> <meta name="citation_issue" content="1"> <meta name="citation_firstpage" content="60"> <meta name="citation_lastpage" content="65"> <meta name="citation_pdf_url" content="https://publications.waset.org/10013462/pdf"> <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 ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/search"> <div 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=""> <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> 33104</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Taiwo.%20M.%20Akinmuyisitan">Taiwo. M. Akinmuyisitan</a>, <a href="https://publications.waset.org/search?q=John%20Cosmas"> John Cosmas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>This paper practically demonstrates the theories and concepts of an Advanced Convolutional Neural Network in the design and development of a scalable artificial intelligence model for the detection of criminal masterminds. The technique uses machine vision algorithms to compute the facial characteristics of suspects and classify actors as criminal or non-criminal faces. The paper proceeds further to compare the results of the error accuracy of two popular custom convolutional pre-trained networks, VGG16 and Resnet50. The result shows that VGG16 is probably more efficient than ResNet50 for the dataset we used.</p> <iframe src="https://publications.waset.org/10013462.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Artificial%20intelligence" title="Artificial intelligence">Artificial intelligence</a>, <a href="https://publications.waset.org/search?q=convolutional%20neural%20networks" title=" convolutional neural networks"> convolutional neural networks</a>, <a href="https://publications.waset.org/search?q=Resnet50" title=" Resnet50"> Resnet50</a>, <a href="https://publications.waset.org/search?q=VGG16." title=" VGG16."> VGG16.</a> </p> <a href="https://publications.waset.org/10013462/advanced-convolutional-neural-network-paradigms-comparison-of-vgg16-with-resnet50-in-crime-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10013462/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10013462/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10013462/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10013462/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10013462/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10013462/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10013462/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10013462/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10013462/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10013462/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10013462.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">290</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] Alexendar Stec, Diego Klabjan. Forecasting Crime with Deep Learning. https://arxiv.org/abs/1806.01486, 2018. <br>[2] Lian Duan, Tao Hu, et. al. Deep Convolutional Neural Networks for Spatiotemporal Crime Prediction. Proceed of International Proceedings of the International Conference on Information and Knowledge Engineering (IKE); Athens, 2017. <br>[3] Jerry Ratcliffe. Crime Mapping: Spatial and Temporal Challenges. 2010. <br>[4] LA Zebrowitz and JM Montepare, "Social psychological face perception: why appearance matters", Soc Personal Psychol Compass., vol. 2, no. 3, pp. 1497-517, 2008. <br>[5] Eck, John, Chainey, Spencer, Cameron, James, and Wilson, Ronald. Mapping crime: understanding hotspots. National Institute of Justice special report, 2005. <br>[6] Gorr Wilpen and Olligschlaeger Andreas. Crime hot spot forecasting: Modeling and comparative evaluation, summary. 2002. URL https://www.ncjrs.gov/pdffiles1/nij/grants/195168 <br>[7] Akinyemi, Olabambo Evelyn. "Community policing in Nigeria: implications for national peace and security." International Journal of Management, Social Sciences, Peace and Conflict Studies 4.1 (2021): 469-488. <br>[8] Harsh Vermal, Siddharth Lotia, Anurag Singh. “Convolutional Neural Network Based Criminal Detection.” 2020 IEEE Region 10 Conference, 2020 <br>[9] Mohammed Nakib, et. al. Crime Scene Prediction by Detecting Threatening Objects Using Convolutional Neural Network. https://ieeexplore.ieee.org/document/8465583/, 2018. <br>[10] Andreas Olligschlaeger. Artificial neural networks and crime mapping. Crime mapping and crime prevention, pages 313–348, 1997. <br>[11] Saad Albawi and Tareq Abed. Understanding Convolutional Neural Network. ICET, 2017. <br>[12] D. H. Hubel and T. N. Wiesel. Receptive fields and functional architecture of monkey striate cortex. Journal of Physiology (London), 195:215–243, 1968. <br>[13] K. Fukushima. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics, 36(4):193–202, Apr 1980. <br>[14] Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278–2324, Nov 1998. <br>[15] D. E. Rumelhart, G. E. Hinton, and R. J. Williams. Learning internal representations by error propagation. In D. E. Rumelhart and J. L. Mcclelland, editors, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Volume 1: Foundations, pages 318–362. MIT Press, Cambridge, MA, 1986. <br>[16] Sumit Saha. A Comprehensive Guide to Convolutional Neural Networks- The ELI5 Ways, url: https://saturncloud.io/blog/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way/, 2018. <br>[17] NIST Special Database 18. 2010. https://www.nist.gov/srd/nist-special-database-18. Accessed 16 July 2023. <br>[18] Abhishek Jaiswal. Guide to HaarCascade Algorithm with Object Detection Example, 2022. <br>[19] Ziwei Liu, Ping Luo, et. al. Large-scale CelebFaces Attributes (CelebA) Dataset. url: https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html, 2021. <br>[20] Mikolov, Tomas, et al. “Extensions of Recurrent Neural Network Language model.” 2011 IEEE international conference on acoustics, speech and signal processing (ICASSP). IEEE, 2011. <br>[21] Navalgund, Umadevi V., and K. Priyadharshini. “Crime Intention Detection System Using Deep Learning.” 2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET). IEEE, 2018 <br>[22] Murphy Kelvin P. Probabilistic Machine Learning: An Introduction. 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Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection