SecureAD: A secure video anomaly detection framework on convolutional neural network in edge computing environment
Anomaly detection offers a powerful approach to identifying unusual activities and uncommon behaviors in real-world video scenes. At present, convolutional neural networks (CNN) have been widely used to tackle anomalous events detection, which mainly rely on its stronger ability of feature represent...
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Main Authors: | CHENG, Hang, LIU, Ximeng, WANG, Huaxiong, FANG, Yan, WANG, Meiqing, ZHAO, Xiaopeng |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2022
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Online Access: | https://ink.library.smu.edu.sg/sis_research/5932 https://ink.library.smu.edu.sg/context/sis_research/article/6935/viewcontent/SecureAD_av_2020.pdf |
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Institution: | Singapore Management University |
Language: | English |
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