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An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos
Video anomaly detection is widely applied in modern society, which is achieved by sensors such as surveillance cameras. This paper learns anomalies by exploiting videos under the fully unsupervised setting. To avoid massive computation caused by back-prorogation in existing methods, we propose a nov...
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| Huvudupphovsmän: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI AG
2019-09-01
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| Serie: | Sensors |
| Ämnen: | |
| Länkar: | https://www.mdpi.com/1424-8220/19/19/4145 |
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