Publication:

A novel two-stream structure for video anomaly detection in smart city management

 
dc.contributor.authorZhao, Yuxuan
dc.contributor.authorMan, Ka Lok
dc.contributor.authorSmith, Jeremy
dc.contributor.authorGuan, Sheng-Uei
dc.date.accessioned2023-01-25T11:12:32Z
dc.date.available2021-11-02T15:57:46Z
dc.date.available2021-11-25T16:47:48Z
dc.date.available2021-12-02T16:15:52Z
dc.date.available2023-01-25T11:12:32Z
dc.date.embargo2023-02-28
dc.date.issued2022
dc.description.wosFundingTextThis article is supported by Xi'an Jiaotong-Liverpool University (XJTLU), Suzhou, China, with the Research Development Fund (RDF-15-01-01). Ka Lok Man wishes to thank the AI University Research Centre (AI-URC), Xi'an Jiaotong-Liverpool University, Suzhou, China, for supporting his related research contributions to this article through the XJTLU Key Programme Special Fund (KSFE-65) and Suzhou-Leuven IoT & AI Cluster Fund.
dc.identifier.doi10.1007/s11227-021-04007-9
dc.identifier.issn0920-8542
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/37633
dc.publisherSPRINGER
dc.source.beginpage3940
dc.source.endpage3954
dc.source.issuena
dc.source.journalJOURNAL OF SUPERCOMPUTING
dc.source.numberofpages15
dc.source.volume78
dc.subject.keywordsEVENT DETECTION
dc.title

A novel two-stream structure for video anomaly detection in smart city management

dc.typeJournal article
dspace.entity.typePublication
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