Distributed Multiple Hypothesis Tracking in Finite Point Process Formalism: A Simple Two Station Case

Abstract

In this paper, we present a general distributed multiple hypothesis tracking (MHT) framework in the finite point process (FPP) formalism, based on information graphs that describe arbitrary information exchanges among multiple distributed information processing stations. Our focus is, however, on a particular simple case where two stations exchange information periodically, to illustrate consequences of various assumptions, concerning independence among targets, target dynamics, and Poisson assumption.