An Attention-based U-Net Network for Anomaly Detection in Crowded Scenes

Anomaly detection in surveillance video is of great significance for public safety. Deep autoencoder has been widely used in anomaly detection. Because of its good generalization ability, sometimes abnormal samples can still be reconstructed very well. Some scholars use memory module constructed by using the normal samples to reconstruct the test samples. The memory items need to be retrieved and ...