Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/17729
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dc.contributor.authorZhang, B-
dc.contributor.authorLi, S-
dc.contributor.authorHuang, Z-
dc.contributor.authorRahi, BH-
dc.contributor.authorWang, Q-
dc.contributor.authorLi, M-
dc.date.accessioned2019-03-19T13:22:27Z-
dc.date.available2018-11-12-
dc.date.available2019-03-19T13:22:27Z-
dc.date.issued2018-11-12-
dc.identifier.citationConcurrency Computation, 2018, 30 (23):e4917 (11)en_US
dc.identifier.issn1532-0626-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/17729-
dc.description.sponsorshipThis work is supported by the Principal Foundation of Xiamen University, No.20720180075en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.subjectmulti-person trackingen_US
dc.subjecttracking-by-detectionen_US
dc.subjectsemi-superviseden_US
dc.subjectKalman filteren_US
dc.subjecttransfer learningen_US
dc.subjectregressionen_US
dc.subjectprior information-
dc.titleTransfer learning-based online multiperson tracking with Gaussian process regressionen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1002/cpe.4917-
dc.relation.isPartOfConcurrency Computation-
pubs.issue23-
pubs.publication-statusPublished-
pubs.volume30-
Appears in Collections:Dept of Electronic and Electrical Engineering Embargoed Research Papers

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