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One of the major problems remaining in tracking is occlusion handling. This paper presents a system for exactly this. A human model is defined and each body part is represented by a number of features. For each new image in a sequence a foreground mask is obtained and compared to each body part of a predicted model of the human. Head detection is utilized to stabilize the tracking. The system is tested on two sequences form two public databases.
Date of Conference: 1-3 Sept. 2008