Abstract

This paper presents a new technique for object tracking. Object tracking methods usually rely on the motion homogeneity of the object to be tracked. The proposed method does not assume that the selected objects present either motion or spatial homogeneity. It is therefore a very powerful tool for enabling content-based functionalities. This object tracking technique is based on the concept of partition projection which is implemented by means of a double partition approach. The projection of the previous partition is directly imposed in the current image so that temporal stability is improved. Several examples in different scenarios are finally presented in order to assess the performance of the method.

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