COVAD: Content-Oriented Video Anomaly Detection using a Self-Attention based Deep Learning Model

COVAD: Content-Oriented Video Anomaly Detection using a Self-Attention based Deep Learning Model

Background: Video anomaly detection has always been a hot topic and attracting an increasing amount of attention. Much of the existing methods on video anomaly detection depend on processing the entire video rather than considering only the significant context. This paper proposes a novel video anom...

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Bibliographic Details
Main Authors: Wenhao Shao, Praboda Rajapaksha, Yanyan Wei, Dun Li, Noel Crespi, Zhigang Luo
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-02-01
Series:Virtual Reality & Intelligent Hardware
Subjects:
Video Surveillance
Video Anomaly Detection
Machine Learning
Deep Learning
Neural Network
Coordinate attention
Online Access:http://www.sciencedirect.com/science/article/pii/S2096579622000481

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http://www.sciencedirect.com/science/article/pii/S2096579622000481

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