Please use this identifier to cite or link to this item: https://doi.org/10.1145/3394171.3416298
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dc.titleEnhancing Anomaly Detection in Surveillance Videos with Transfer Learning from Action Recognition
dc.contributor.authorKun Liu
dc.contributor.authorMinzhi Zhu
dc.contributor.authorHuiyuan Fu
dc.contributor.authorHuadong Ma
dc.contributor.authorTat-Seng Chua
dc.date.accessioned2020-10-21T02:17:36Z
dc.date.available2020-10-21T02:17:36Z
dc.date.issued2020-10-12
dc.identifier.citationKun Liu, Minzhi Zhu, Huiyuan Fu, Huadong Ma, Tat-Seng Chua (2020-10-12). Enhancing Anomaly Detection in Surveillance Videos with Transfer Learning from Action Recognition. ACM Multimedia 2020. ScholarBank@NUS Repository. https://doi.org/10.1145/3394171.3416298
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/178624
dc.subjectAnomaly Detection
dc.subjectTransfer Learning
dc.subjectAction Recognition
dc.subjectSurveillance Videos
dc.typeArticle
dc.contributor.departmentDEPT OF COMPUTER SCIENCE
dc.description.doi10.1145/3394171.3416298
dc.description.sourcetitleACM Multimedia 2020
dc.grant.idR-252-300-002-490
dc.grant.fundingagencyInfocomm Media Development Authority
dc.grant.fundingagencyNational Research Foundation
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