Joint PHD Filter and Hungarian Assignment Algorithm for Multitarget Tracking in Low Signal-to-Noise Ratio

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dc.contributor.authorXiao, S.
dc.contributor.authorTao,H
dc.contributor.authorShen, X.
dc.contributor.authorZhang, L.
dc.contributor.authorHu, M.
dc.coverage.issue2cs
dc.coverage.volume32cs
dc.date.accessioned2023-10-11T07:43:38Z
dc.date.available2023-10-11T07:43:38Z
dc.date.issued2023-06cs
dc.description.abstractMultitarget tracking (MTT) for image processing in low signal-to-noise ratio (SNR) is difficult and computationally expensive because the distinction between the target and the background is small. Among the current MTT algorithms, Random Finite Set (RFS) based filters are computationally tractable. However, the probability hypothesis density (PHD) filter, despite its low computational complexity, is not suitable for MTT in low SNR. The generalized labeled multi-Bernoulli (GLMB) filter and its fast implementation are unsuitable for realtime MTT due to their high computational complexity. To achieve realtime MTT in low SNR, a joint PHD filter and Hungarian assignment algorithm is first proposed in this work. The PHD filter is used for preliminary tracking of targets while the Hungarian assignment algorithm is employed to complete the association process. To improve the tracking performance in low SNR, a new track must undergo a trial period and a valid track will be terminated only if it is not detected for several frames. The simulation results show that the proposed MTT algorithm can achieve stable tracking performance in low SNR with small computational complexity. The proposed filter can be applied to MTT in low SNR that require realtime implementation.en
dc.formattextcs
dc.format.extent287-297cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2023 vol. 32, č. 2, s. 287-297. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2023.0287en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/214321
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2023/23_02_0287_0297.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectHungarian assignment algorithmen
dc.subjectPHD filteren
dc.subjectmultitarget tracking (MTT)en
dc.subjectlow signal-to-noise ratio (SNR)en
dc.titleJoint PHD Filter and Hungarian Assignment Algorithm for Multitarget Tracking in Low Signal-to-Noise Ratioen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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