Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes

•This paper is one of the first where fully convolutional neural network is used for anomaly detection.•Adapting a pre-trained classification CNN to an FCN for generating video regions to describe motion and shape concurrently.•Proposing a new FCN architecture for time-efficient anomaly detection an...

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Bibliographic Details

Published in:	Computer vision and image understanding Vol. 172; pp. 88 - 97
Main Authors:	Sabokrou, Mohammad, Fayyaz, Mohsen, Fathy, Mahmood, Moayed, Zahra, Klette, Reinhard
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.07.2018
Subjects:	CNN Real-time processing Transfer learning Video anomaly detection Real-time processing Video anomaly detection CNN Transfer learning
ISSN:	1077-3142, 1090-235X
Online Access:	Get full text
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