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dc.contributor.authorGarcia Fernandez, Angel
dc.contributor.authorMorelande, M.
dc.date.accessioned2017-01-30T10:39:27Z
dc.date.available2017-01-30T10:39:27Z
dc.date.created2016-04-21T19:30:21Z
dc.date.issued2015
dc.identifier.citationGarcia Fernandez, A. and Morelande, M. 2015. Explicit filtering equations for labelled random finite sets, in Proceedings of the International Conference on Control, Automation and Information Sciences (ICCAIS), Oct 29-31 2015, pp. 349-354. Changshu: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/4474
dc.identifier.doi10.1109/ICCAIS.2015.7338691
dc.description.abstract

We decompose a probability density function (PDF) of a labelled random finite set (RFS) into a probability mass function over a set of labels and a PDF on a vector-valued multitarget state given the labels. Using this decomposition, we write the Bayesian filtering recursion for labelled RFSs in an explicit form. The resulting formulas are of conceptual and practical interest in the RFS approach to multiple target tracking, especially, for track-before-detect particle filter implementations.

dc.titleExplicit filtering equations for labelled random finite sets
dc.typeConference Paper
dcterms.source.startPage349
dcterms.source.endPage354
dcterms.source.titleICCAIS 2015 - 4th International Conference on Control, Automation and Information Sciences
dcterms.source.seriesICCAIS 2015 - 4th International Conference on Control, Automation and Information Sciences
dcterms.source.isbn9781479998920
dcterms.source.conference2015 International Conference on Control, Automation and Information Sciences
dcterms.source.placeUSA
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Copyright © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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