Title | ||
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Abnormal Event Detection Using Deep Contrastive Learning for Intelligent Video Surveillance System |
Abstract | ||
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The continuous developments of urban and industrial environments have increased the demand for intelligent video surveillance. Deep learning has achieved remarkable performance for anomaly detection in surveillance videos. Previous approaches achieve anomaly detection with a single-pretext task (image reconstruction or prediction) and detect anomalies by larger reconstruction error or poor predict... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TII.2021.3122801 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Task analysis,Head,Semantics,Anomaly detection,Video surveillance,Feature extraction,Training | Journal | 18 |
Issue | ISSN | Citations |
8 | 1551-3203 | 1 |
PageRank | References | Authors |
0.35 | 23 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chao Huang | 1 | 1 | 0.35 |
Zhihao Wu | 2 | 1 | 0.35 |
Wen Jie | 3 | 284 | 23.38 |
Xu Yong | 4 | 335 | 19.68 |
Wei Zhou | 5 | 193 | 28.72 |
Yaowei Wang | 6 | 134 | 29.62 |