A temporal fusion algorithm for multi-sensor tracking in wide areas
نویسندگان
چکیده
This article presents a distributed vision system for tracking of mobile objects over wide areas. A temporal data fusion is used in order to improve the decision making at the data association stage. The temporal fusion is performed with a possibilistic M.H.T. (Multiple Hypothesis Tracking). We have decided to use the Possibility Theory which handle efficiently uncertainties. The originality of this M.H.T. is the control of its development according to the online quality estimation of the data association based on a Necessity measurement.
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تاریخ انتشار 2010