The PMHT: solutions for some of its problems

Abstract

Tracking multiple targets in a cluttered environment is a challenging task. The Probabilistic Multi-Hypothesis Tracker (PMHT) is an efficient approach to cope with it. Linearity in the number of targets and measurements is the main motivation for its continued study. Unfortunately, the PMHT has not yet shown its superiority in terms of a better track-lost statistics. Furthermore, the problem of track extraction is not satisfactorily solved. This work focuses on mitigating the PMHT's main problems and presents the integration of a sequential likelihood-ratio test for track extraction.