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This paper is concerned with investigating, experiencing, and validating some non classic techniques for compound moving objects analysis in successive video frames. This composite-tasks problem has so far been very`rarely' dealt with as a `single' multidirectional problem, it has always been handled as several separate unidirectional, or seldom bidirectional problems. The paper exhibits an HCI system...
Identifying moving objects from a video sequence is a fundamental and critical task in many computer vision applications. We propose a three stage adaptive object segmentation algorithm for color surveillance videos. In the first stage, background is modeled using Multiple Correlation Coefficient (Ra,bc) using pixel-level based approach for motion segmentation. Segmented foreground objects generally...
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