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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Jingtao Hu, En Zhu, Siqi Wang, Xinwang Liu, Xifeng Guo, Jianping Yin
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2019-09-01
Sarja:	Sensors
Aiheet:	video anomaly detection unsupervised ensemble learning random projection surveillance camera
Linkit:	https://www.mdpi.com/1424-8220/19/19/4145
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