On multitarget pairwise-Markov models, II

Ronald Mahler

doi:10.1117/12.2262787

2 May 2017 On multitarget pairwise-Markov models, II

Ronald Mahler

Proceedings Volume 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI; 102000D (2017) https://doi.org/10.1117/12.2262787
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

This paper is the seventh in a series aimed at weakening the independence assumptions that are typically presumed in multitarget tracking. Two years ago at this conference, we initiated an exploratory analysis of general multitarget pairwise-Markov (MPMC) systems, which weaken the multitarget Markov assumption. Based on this analysis, we derived an exploratory CPHD filter for MPMC systems. Unfortunately, this approach relied on heuristic models in order to incorporate both spatial and cardinality correlation between states and measurements. This paper describes a fully rigorous approach, provided that only cardinality correlation is taken into account. We derive the time-update and measurement-update equations for a CPHD filter describing the evolution of such an MPMC system.

Conference Presentation

Citation Download Citation

Ronald Mahler "On multitarget pairwise-Markov models, II", Proc. SPIE 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, 102000D (2 May 2017); https://doi.org/10.1117/12.2262787

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