Abstract
The invasion of new technologies in people’s life has allowed a great interactive collaboration between citizens and law enforcement agencies. The appearance of crowdsourcing has become a new source of research and development especially in the suspect investigation domain that needs the combination of human intelligence and the technical tools to lead the investigation towards the greatest results. The objective of this paper is to exploit the pervasiveness of image processing techniques (face detection and recognition) to design a crowdsourcing framework that may be chiefly used by government authorities to identify a suspect. This framework is primarily based on the surveillance video analysis and the sketch generation tools supported by the intelligence of the crowd.
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References
Howe, B.J.: The rise of crowdsourcing. Wired Mag. 14(6), 1–4 (2006)
Doan, B.Y.A., Ramakrishnan, R., Halevy, A.Y.: Crowdsourcing systems on the world-wide web. Commun. ACM 54(4), 86–96 (2011)
Yang, M.H., Kriegman, D.J., Ahuja, N.: Detecting faces in images: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 24(1), 34–58 (2002)
Ahonen, T., Hadid, A., Pietikäinen, M.: Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 2037–2041 (2006)
Aitamurto, T., Leiponen, A., Tee, R.: The promise of idea crowdsourcing – benefits, contexts, limitations. Nokia IdeasProject White paper, vol. 1, pp. 1–30 (2011)
Hess, K.M., Orthmann, C.H.: Criminal Investigation, 9th edn. Cengage Learning, Boston (2016)
Sefanyetso, J.T.: Personal description: an investigation technique to identify suspects (2009)
Les Grands Tendances 2017 De La Vidéo Surveillance. http://www.video-surveillance-direct.com/content/88-2017-les-tendances-de-la-video-surveillance. Accessed 05 July 2017
Zhang, Z.: Intelligent distributed surveillance systems: a review. Chin. J. Electron. 14(1), 115–118 (2005)
Swanson, C., Chamelin, N., Territo, L., Taylor, R.: Criminal Investigation (The Evolution of Criminal Investigation and Forensic Science). The Granger Collection, New York (2011)
Klum, S., Han, H., Jain, A.K., Klare, B., Church, F.: Sketch based face recognition : forensic vs composite sketches. In: International Conference on Biometrics, pp. 1–8. IEEE, Madrid (2013)
Streed, M.W.: Creating Digital Faces for Law Enforcement, 1st edn. Academic Press, Cambridge (2017)
Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137–154 (2004)
Freund, Y., Schapire, R., Abe, N.: A short introduction to boosting. J. Japan. Soc. Artif. Intell. 14(5), 771–780 (1999)
Hjelmas, E., Low, B.K.: Face detection: a survey. Comput. Vis. Image Underst. 83(3), 236–274 (2001)
Turk, M.A., Pentland, A.P.: Face recognition using eigenfaces. In: Computer Society Conference on Computer Vision and Pattern Recognition, pp. 586–591. IEEE (1991)
Weyrauch, B., Heisele, B., Huang, J., Blanz, V.: Component-based face recognition with 3D morphable models. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. IEEE (2004)
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El Alaoui El Abdallaoui, H., Ennaji, F.Z., El Fazziki, A. (2018). An Image Processing Based Framework Using Crowdsourcing for a Successful Suspect Investigation. In: Abraham, A., Haqiq, A., Muda, A., Gandhi, N. (eds) Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017). SoCPaR 2017. Advances in Intelligent Systems and Computing, vol 737. Springer, Cham. https://doi.org/10.1007/978-3-319-76357-6_7
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DOI: https://doi.org/10.1007/978-3-319-76357-6_7
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