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dc.contributor.authorBrekke, Edmund Førland
dc.contributor.authorChitre, Mandar
dc.date.accessioned2017-12-01T09:49:56Z
dc.date.available2017-12-01T09:49:56Z
dc.date.created2017-11-30T13:28:05Z
dc.date.issued2017
dc.identifier.isbn978-0-9964-5270-0
dc.identifier.urihttp://hdl.handle.net/11250/2468710
dc.description.abstractThe multiple hypothesis tracker (MHT) has historically been considered a gold standard for multi-target tracking. In this paper we show that the key formula for hypothesis probabilities in Reid's MHT can be derived from the modern theory of finite set statistics (FISST) insofar as appropriate assumptions (Poisson models for clutter and undetected targets, no target-death, linear-Gaussian Markov target kinematics) are adhered to.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.relation.ispartof2017 20th International Conference on Information Fusion
dc.titleThe multiple hypothesis tracker derived from finite set statisticsnb_NO
dc.typeChapternb_NO
dc.description.versionsubmittedVersionnb_NO
dc.identifier.doi10.23919/ICIF.2017.8009708
dc.identifier.cristin1520909
dc.description.localcode© 2017 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.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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