Publication:

Decoupled appearance and motion learning for efficient anomaly detection in surveillance video

Date

2021
Journal article
https://doi.org/10.1016/j.cviu.2021.103249
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dc.contributor.authorLi, Bo
dc.contributor.authorLeroux, Sam
dc.contributor.authorSimoens, Pieter
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.date.accessioned2022-03-03T14:18:01Z
dc.date.available2022-03-03T14:18:01Z
dc.date.issued2021
dc.identifier.doi10.1016/j.cviu.2021.103249
dc.identifier.issn1077-3142
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39275
dc.publisherACADEMIC PRESS INC ELSEVIER SCIENCE
dc.source.beginpage103249
dc.source.issuena
dc.source.journalCOMPUTER VISION AND IMAGE UNDERSTANDING
dc.source.numberofpages8
dc.source.volume210
dc.title

Decoupled appearance and motion learning for efficient anomaly detection in surveillance video

dc.typeJournal article
dspace.entity.typePublication
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