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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Hlavní autoři: Jingtao Hu, En Zhu, Siqi Wang, Xinwang Liu, Xifeng Guo, Jianping Yin
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2019-09-01
Edice:Sensors
Témata:
video anomaly detection
unsupervised ensemble learning
random projection
surveillance camera
On-line přístup:https://www.mdpi.com/1424-8220/19/19/4145
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