Video anomaly detection and localization via Gaussian Mixture Fully Convolutional Variational Autoencoder

We present a novel end-to-end partially supervised deep learning approach for video anomaly detection and localization using only normal samples. The insight that motivates this study is that the normal samples can be associated with at least one Gaussian component of a Gaussian Mixture Model (GMM),...

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Bibliographic Details

Published in:	Computer vision and image understanding Vol. 195; p. 102920
Main Authors:	Fan, Yaxiang, Wen, Gongjian, Li, Deren, Qiu, Shaohua, Levine, Martin D., Xiao, Fei
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.06.2020
Subjects:	Anomaly detection Dynamic flow Gaussian mixture model Two-stream network Variational autoencoder Video surveillance Variational autoencoder Video surveillance Dynamic flow Two-stream network Anomaly detection Gaussian mixture model
ISSN:	1077-3142, 1090-235X
Online Access:	Get full text
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