4 papers
Enhance Multi-Scale Spatial-Temporal Coherence for Configurable Video Anomaly Detection
Kai Cheng, Xinzhe Li, Lijuan Che
The development of unsupervised Video Anomaly Detection (VAD) relies on technologies in the field of signal processing. Since the anomaly is quite ambiguous and unbounded, differen…
M2S2L: Mamba-based Multi-Scale Spatial-temporal Learning for Video Anomaly Detection
Yang Liu, Boan Chen, Xiaoguang Zhu +3
Video anomaly detection (VAD) is an essential task in the image processing community with prospects in video surveillance, which faces fundamental challenges in balancing detection…
Privacy-Preserving Video Anomaly Detection: A Survey
Yang Liu, Siao Liu, Xiaoguang Zhu +7
Video Anomaly Detection (VAD) aims to automatically analyze spatiotemporal patterns in surveillance videos collected from open spaces to detect anomalous events that may cause harm…
Networking Systems for Video Anomaly Detection: A Tutorial and Survey
Jing Liu, Yang Liu, Jieyu Lin +7
The increasing utilization of surveillance cameras in smart cities, coupled with the surge of online video applications, has heightened concerns regarding public security and priva…