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 Probabilistic Multi-Hypothesis Tracker proposed by Streit and Luginbuhl. This paper considers a modification of Probabilistic Multi-Hypothesis Tracker. The implementation of Hough Transform is proposed to generate a good start point to the main PMHT algorithm. The suggested modification improves estimation accuracy and correctness of PMHT algorithm and overcome its main drawback of low convergence.