Multiple target tracking using Hough transform PMHT algorithm
Kiril M. Alexiev · 2003
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.