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Identifying moving objects in video sequence is fundamental and important task in visual tracking systems and computer vision applications. Background removal algorithms are usually used to separate the foreground from the background. Despite the existence of many background removal algorithms, they didn't solve some problems such as cast shadows, highlighting and ghost effect. In this paper we propose,...
Partial occlusion is a difficult problem in computer vision since whether the object is changed or occluded is ambiguous, especially when distinguishing it only from the object boundary. In this paper, we proposed a novel idea to solve this problem by taking shape matching as a morphing processing. A mass-spring model is constructed from the point set which is sampled from a template (or reference)...
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