A Track-Oriented Multiple Hypothesis Multitarget Tracking Algorithm

摘要

An algorithm for tracking multiple targets simultane- ously in the presence of false signals is described. The method is an improvement of multiple hypothesis tracking (MHT) which has recently been reported. MHT tracks multiple targets by maintaining data association hypotheses regarding whether an observation vector represents a new target, clutter, or an already-tracked target. The idea of clusters is introduced in MHT, because a large problem in a wide region is thereby divided into independent small problems.