Multiple target tracking using Hough transform PMHT algorithm

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 Probab...

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Bibliographic Details
Published in2002 1st IEEE Symposium "Intelligent Systems" Vol. 1; pp. 227 - 232 vol.1
Main Author Alexiev, K.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
Clutter
Convergence
Explosions
Nearest neighbor searches
Parameter estimation
Radar measurements
Radar tracking
State estimation
Surveillance
Target tracking
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Summary: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.
ISBN:0780371348
9780780371347
DOI:10.1109/IS.2002.1044259