Track segment association with classification information

Abstract

We propose a new method to track maneuvering ground targets and correct the ground tactical situation. The method developed in this work improves the performances of Structured-Branching Multiple Hypothesis Tracker (SB-MHT) and reduces the incorrect track deletions in tracks maintenance with a new Track Segment Association (TSA) algorithm taking into account both kinematic and classification information. The performances of this method are quantified on a realistic simulated scenario involving twenty maneuvering ground targets observed by an airborne with a Ground Moving Target Indicator (GMTI) sensor and Unattended Ground Sensor (UGS).