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In a world filled with heightened vandalism and terrorist activities, video surveillance forms an integral part of any incident investigation. While aiming to provide safety and security for the citizens, CCTV cameras are exponentially deployed around metropolitan cities. However, the information thus collected and further processed should comply with the legal and ethical rules defined by the law...
In this paper, a low-level multi-feature fusion based classifier is presented for studying the performance of an object retrieval method from surveillance videos. The proposed retrieval framework exploits the recent developments in evolutionary computation algorithm based on biologically inspired optimisation techniques. The multi-descriptor space is formed with a combination of four MPEG-7 visual...
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