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Research in the video surveillance is gaining more popularity due to its widespread applications as well as social impact. In this paper, we present an intelligent framework for detection of multiple events in surveillance videos. Based on the principle of compositionality, we modularize the surveillance problems into a set of variables comprising regions-of-interest, classes (i.e. human, vehicle),...
Accurate identification and categorization of different types of human postures is a vital element of a real time video-based surveillance system. In this paper, we present an approach known as the hybrid Particle Swarm Optimization (PSO+K) to classify human postures into their respective clusters. The PSO algorithm is used to search for possible optimal solution from the solution space. Then the...
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