Abstract
As CCTV/IP cameras and network infrastructure become cheaper and more affordable, today’s video surveillance solutions are more effective than ever before, providing new surveillance technology that’s applicable to a wide range end-users in retail sectors, schools, homes, office campuses, industrial /transportation systems, and government sectors. Vision-based object detection and tracking, especially for video surveillance applications, is studied from algorithms to performance evaluation. This chapter is composed of three topics: (1) background modeling and detection, (2) performance evaluation of sensitive target detection, and (3) multi-camera segmentation and tracking of people.
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Kim, K., Davis, L.S. (2011). Object Detection and Tracking for Intelligent Video Surveillance. In: Lin, W., Tao, D., Kacprzyk, J., Li, Z., Izquierdo, E., Wang, H. (eds) Multimedia Analysis, Processing and Communications. Studies in Computational Intelligence, vol 346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19551-8_9
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DOI: https://doi.org/10.1007/978-3-642-19551-8_9
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