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Detecting dominant motion flows in crowd scenes is one of the major problems in video surveillance. This is particularly difficult in unstructured crowd scenes, where the participants move randomly in various directions. This paper presents a novel method which utilizes SIFT features' flow vectors to calculate the dominant motion flows in both unstructured and structured crowd scenes. SIFT features...
Three dimensional (3D) video is attracting a lot of attention as a new multimedia representation method. 3D video is a sequence of 3D models (frames) that consist of varying vertices and connectivity. In conventional 2D video compression algorithms, motion compensation (MC) using block matching algorithm is frequently employed to reduce redundancy between consecutive frames. However, there is no such...
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