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In this paper we propose a new approach for tracking an object in a video sequence. Our tracker is mainly composed of object modeling and particle filtering based on kernel methods. First, to overcome the problem of appearance changes, we model the target by computing kernel density estimation of color distribution of interesting objects. To improve the(More)
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