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dc.contributor.authorHaines, TSFen_US
dc.contributor.authorXiang, Ten_US
dc.date.accessioned2016-03-02T16:40:40Z
dc.date.issued2014-04en_US
dc.identifier.issn0162-8828en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/11343
dc.description.sponsorshipESPRC Grant: EP/G063974/1en_US
dc.format.extent670 - 683en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCEen_US
dc.subjectBackground subtractionen_US
dc.subjectDirichlet processesen_US
dc.subjectnon-parametric Bayesian methodsen_US
dc.subjectconfidence cappingen_US
dc.subjectvideo analysisen_US
dc.titleBackground Subtraction with Dirichlet Process Mixture Modelsen_US
dc.typeArticle
dc.rights.holder© Copyright 2018 IEEE
dc.identifier.doi10.1109/TPAMI.2013.239en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000334109000004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue4en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume36en_US
qmul.funderMulti-Object Video Behaviour Modelling for Abnormality Detection and Differentiation::Engineering and Physical Sciences Research Councilen_US


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