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dc.contributor.authorChen, N. Q.
dc.contributor.authorJi, H. B.
dc.contributor.authorGao, Y. C.
dc.contributor.authorYang, D.
dc.date.accessioned2018-11-23T09:26:53Z
dc.date.available2018-11-23T09:26:53Z
dc.date.issued2018-09cs
dc.identifier.citationRadioengineering. 2018 vol. 27, č. 3, s. 846-855. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/137044
dc.description.abstractIn the resampling procedure of traditional box particle filtering, selected box particles are divided in a randomly chosen dimension. This resampling procedure may fail when some elements in the target state vector are unmeasured. To deal with this problem, an improved resampling method for box particle filtering is proposed, where a limit on the sizes of box particles is imposed to restrain the box particles from growing too large. In addition, we extend the inclusion and volume criteria from single-target tracking to multi-target tracking. Instead of indicating whether the true target state is included in the support of the posterior track probability in single target tracking, the inclusion value in multi-target tracking indicates how many true targets are included in the supports of the posterior probability densities. And the volume value in multi-target tracking is redefined as the mean volume of the supports of the posterior probability densities. Simulation results are provided to illustrate the effectiveness of the proposed approach.en
dc.formattextcs
dc.format.extent846-855cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2018/18_03_0846_0855.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectBox particle filteren
dc.subjectmulti-target trackingen
dc.subjectresamplingen
dc.subjectinclusion and volumeen
dc.subjectlabeled multi-Bernoulli filteren
dc.titleNew Box Particle Filter with Improved Resampling Method and Extended Inclusion Volume Criteria for Multi-target Trackingen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue3cs
dc.coverage.volume27cs
dc.identifier.doi10.13164/re.2018.0846en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International license