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dc.contributor.authorMahler, Ronald
dc.date.accessioned2017-08-24T02:19:55Z
dc.date.available2017-08-24T02:19:55Z
dc.date.created2017-08-23T07:21:50Z
dc.date.issued2017
dc.identifier.citationMahler, R. 2017. On multitarget pairwise-Markov models, II.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/55696
dc.identifier.doi10.1117/12.2262787
dc.description.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.

dc.titleOn multitarget pairwise-Markov models, II
dc.typeConference Paper
dcterms.source.volume10200
dcterms.source.titleProceedings of SPIE - The International Society for Optical Engineering
dcterms.source.seriesProceedings of SPIE - The International Society for Optical Engineering
dcterms.source.isbn9781510609013
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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