Multi-Target Tracking Using A Randomized Hypothesis Generation Technique

W. Faber, S. Chakravorty, Islam I. Hussein

In this paper, we present a randomized version of the finite set statistics (FISST) Bayesian recursions for multi-object tracking problems. We propose a hypothesis level derivation…