论文信息 - A temporal fusion algorithm for multi-sensor tracking in wide areas

A temporal fusion algorithm for multi-sensor tracking in wide areas

Presents a distributed vision system for the 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 MHT (multiple hypothesis tracking). We have decided to use the possibility theory because it handles uncertainties efficiently. The originality of this MHT 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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