Joint Integrated Track Splitting for Multi-sensor Multi-target Tracking in Clutter

Automatic object tracking for track initialization, confirmation and termination can be realized by using the probability of target existence, which is a track quality measure for false track discrimination. In this paper, we present a multi-sensor multi-target tracking application based on the probability of target existence and multi-sensor joint integrated track splitting (MS-JITS), which is an extension of JITS framework to multi-sensor systems. For fair comparison, incorporation of the target existence paradigm and the S-D assignment is implemented. This work also consummates the S-D assignment based estimators for track management by the probability of target existence.