Multiple-Hypothesis Tracking for Targets Producing Multiple Measurements

Abstract

This paper extends the multiple-hypothesis tracking (MHT) recursion to allow for multiple detections per target, per scan of data. We show that the generalized recursion admits the factorization of global-hypothesis probabilities, enabling track-oriented MHT. We propose a two-stage MHT implementation that allows tractable processing in this setting, and explore performance with respect to classical track-oriented MHT processing.