Seeing the Forest Through the Trees: Multiple-Hypothesis Tracking and Graph-Based Tracking Extensions
Stefano P. Coraluppi · 2018
This paper addresses some concerns that have been expressed in the literature regarding the multiple-hypothesis tracking (MHT) paradigm for multi-target tracking (MTT). We clarify that MHT is a mathematically valid maximum a posteriori (MAP) estimation approach to the MTT problem. We identify some extensions to the MHT approach that have emerged over the years, and discuss the graph-based tracking (GBT) simplification that achieves significant computational reduction by introducing path-independence approximations. We provide some suggestions for future MTT performance evaluation efforts and conclude by indicating some current research directions.