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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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Bibliografski detalji
Glavni autori: Jingtao Hu, En Zhu, Siqi Wang, Xinwang Liu, Xifeng Guo, Jianping Yin
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2019-09-01
Serija:Sensors
Teme:
Online pristup:https://www.mdpi.com/1424-8220/19/19/4145
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