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dc.contributor.authorLi, Bo
dc.contributor.authorLeroux, Sam
dc.contributor.authorSimoens, Pieter
dc.date.accessioned2022-03-03T14:18:01Z
dc.date.available2022-03-03T14:18:01Z
dc.date.issued2021
dc.identifier.issn1077-3142
dc.identifier.otherWOS:000691995600006
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39275
dc.sourceWOS
dc.titleDecoupled appearance and motion learning for efficient anomaly detection in surveillance video
dc.typeJournal article
dc.contributor.imecauthorLi, Bo
dc.contributor.imecauthorLeroux, Sam
dc.contributor.imecauthorSimoens, Pieter
dc.contributor.orcidimecLeroux, Sam::0000-0003-3792-5026
dc.contributor.orcidimecSimoens, Pieter::0000-0002-9569-9373
dc.identifier.doi10.1016/j.cviu.2021.103249
dc.source.numberofpages8
dc.source.peerreviewyes
dc.source.beginpage103249
dc.source.journalCOMPUTER VISION AND IMAGE UNDERSTANDING
dc.source.issuena
dc.source.volume210
imec.availabilityPublished - imec


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