Spatial-Temporal Cascade Autoencoder for Video Anomaly Detection in Crowded Scenes

Time-efficient anomaly detection and localization in video surveillance still remains challenging due to the complexity of "anomaly". In this paper, we propose a cuboid-patch-based method characterized by a cascade of classifiers called a spatial-temporal cascade autoencoder (ST-CaAE), whi...

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