A Comparison of the Probability Hypothesis Density Filter and the Multiple Hypothesis Tracker for Tracking Targets of Multiple Types
Published in M.S. Thesis, Temple University, 2019
A comparison of the probability hypothesis density (PHD) filter against the multiple hypothesis tracker (MHT) for multi-target tracking when the targets are of differing types, examining where the random-finite-set formulation’s computational advantages hold up against explicit hypothesis enumeration.
Recommended citation: Brodovsky, J. A. (2019). "A Comparison of the Probability Hypothesis Density Filter and the Multiple Hypothesis Tracker for Tracking Targets of Multiple Types." M.S. Thesis, Temple University.