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Multiple target tracking using Hough transform PMHT algorithm

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1 Author(s)
Alexiev, K.M. ; Central Lab. for Parallel Process., Bulgarian Acad. of Sci., Sofia, Bulgaria

The problem of estimating the parameters that determine a mixture density has been subject of extraordinary interest in the last years. Such a mixture density estimation problem is multi-target tracking. One of the new data association/tracking algorithms used for multi-target tracking is the Probabilistic Multi-Hypothesis Tracker. This paper considers a modification of the Probabilistic Multi-Hypothesis Tracker. The implementation of the Hough transform is proposed to generate a good start point to the main PMHT algorithm. The suggested modification improves estimation accuracy and correctness of the PMHT algorithm and overcomes its main drawback of low convergence.

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Intelligent Systems, 2002. Proceedings. 2002 First International IEEE Symposium  (Volume:1 )

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