LGN-Net: Local-Global Normality Network for Video Anomaly Detection. (arXiv:2211.07454v2 [cs.CV] UPDATED)

Video anomaly detection (VAD) has been intensively studied for years because
of its potential applications in intelligent video systems. Existing
unsupervised VAD methods tend to learn normality from training sets consisting
of only normal videos and regard instances deviating from such normality as
anomalies. However, they often consider only local or global normality. Some of
them focus on learning local spatiotemporal representations from consecutive
frames in video clips to enhance the representation for normal events. But
powerful representation allows these …

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