Generative Neural Networks for Anomaly Detection in Crowded Scenes.
IEEE Transactions on Information Forensics and Security(2019)
摘要
Security surveillance is critical to social harmony and people's peaceful life. It has a great impact on strengthening social stability and life safeguarding. Detecting anomaly timely, effectively and efficiently in video surveillance remains challenging. This paper proposes a new approach, called S2-VAE, for anomaly detection from video data. The S2-VAE consists of two proposed neural networks: a...
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关键词
Convolutional neural networks,Feature extraction,Anomaly detection,Gaussian distribution,Guassian processes,Mixture models,Video surveillance
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