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    On multitarget pairwise-Markov models, II

    Access Status
    Fulltext not available
    Authors
    Mahler, Ronald
    Date
    2017
    Type
    Conference Paper
    
    Metadata
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    Citation
    Mahler, R. 2017. On multitarget pairwise-Markov models, II.
    Source Title
    Proceedings of SPIE - The International Society for Optical Engineering
    DOI
    10.1117/12.2262787
    ISBN
    9781510609013
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/55696
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 SPIE. 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.

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