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In this paper a joint human tracking and recognition system is proposed. While usually these two functions are performed separately, it will be shown that it is possible to improve the estimation performances if these functions are done jointly. For this purpose, a Bayesian estimation framework is presented and implemented using sequential Monte Carlo techniques. Moreover it will be shown how the...
In this paper the problem of the simultaneous tracking of multiple video objects is addressed. In the proposed approach, each tracker behaves independently using corners and gradient-based information until an interaction with other trackers is reported. During the interaction, a new Bayesian method that allows the exploitation of the information of each tracker in a collaborative way is used. By...
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