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Surveillance refers to monitoring of a scene along with analysis of behavior of the people and vehicles for the purpose of maintaining security or keeping a watch over an area. Typically, traditional surveillance involves monitoring of a scene using one or more close circuit television (CCTV) cameras with personnel watching and making decisions based on video feeds obtained from the cameras. There is a growing need towards building systems that are completely automated or operate with minimal human supervision.
Biometric acquisition and processing is by far the most important component of any automatedsurveillance system. There are many challenges and variates that show up in acquisition of biometrics for robust verification. Further, in surveillance, behavioral biometrics is also of potential use in many scenarios. Using the patterns observed in a scene (such as faces, speech, behavior), the system decides on a set of actions to perform....
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References
Remagnino, P., Jones, G.A., Paragios, N., Regazzoni, C.S.: Video-Based Surveillance Systems: Computer Vision and Distributed Processing. Kluwer, Dordecht (2001)
Zhao, W., Chellappa, R., Phillips, P., Rosenfeld, A.: Face recognition: a literature survey. ACM Comput. Surv. 35, 399–458 (2003)
Shu, C., Hampapur, A., Lu, M., Brown, L., Connell, J., Senior, A., Tian, Y.: Ibm smart surveillance system (s3): a open and extensible framework for event based surveillance. In: IEEE Conference on Advanced Video and Signal Based Surveillance. pp. 318–323 (2005)
Prabhakar, S., Pankanti, S., Jain, A.: Biometric recognition: security and privacy concerns. Security & Privacy Magazine, IEEE 1, 33–42 (2003)
Liu, S., Silverman, M.: A practical guide to biometric security technology. IT Professional 3, 27–32 (2001)
Ramanathan, N., Chellappa, R.: Face verification across age progression. Comput. Vision Pattern Recognit., 2005. CVPR 2005. IEEE Computer Society Conference on 2 (2005)
Ling, H., Soatto, S., Ramanathan, N., Jacobs, D.: A study of face recognition as people age. Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on pp. 1–8 (2007)
Veeraraghavan, A., Roy-Chowdhury, A.K., Chellappa, R.: Matching shape sequences in video with applications in human movement analysis. IEEE Trans. Pattern Anal. Mach. Intell. 27, 1896–1909 (2005)
Moore, D., Essa, I.: Recognizing multitasked activities from video using stochastic context-free grammar. Workshop on Models versus Exemplars in Computer Vision (2001)
Joo, S., Chellappa, R.: Recognition of multi-object events using attribute grammars. IEEE International Conference on Image Processing pp. 2897–2900 (2006)
Wren, C., Ivanov, Y., Leigh, D., Westhues, J.: The MERL Motion Detector Dataset: 2007 Workshop on Massive Datasets. (Technical report)
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Chellappa, R., Sankaranarayanan, A.C. (2009). Surveillance. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_23
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DOI: https://doi.org/10.1007/978-0-387-73003-5_23
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