Video abnormality behavior identification plays a pivotal role in improving the safety and
security of surveillance systems by identifying unusual events within video streams …

Anomaly detection is critically important for intelligent surveillance systems to detect in a
timely manner any malicious activities. Many video anomaly detection approaches using …

The widespread adoption of video surveillance systems in public security and network
security domains has underscored the importance of video anomaly detection as a pivotal …

Surveillance cameras produce vast amounts of video data, posing a challenge for analysts
due to the infrequent occurrence of unusual events. To address this, intelligent surveillance …

An improved spatio-temporal graph convolutional network for video anomaly detection is
proposed to accurately capture the spatio-temporal interactions of objects in anomalous …

Deep learning models have been widely used for anomaly detection in surveillance videos.
Typical models are equipped with the capability to reconstruct normal videos and evaluate …

Anomaly detection plays a crucial role in the field of machine learning, as it involves
constructing detection models capable of identifying abnormal samples that deviate from …

Security in public spaces is a primary concern across different domains and the deployment
of real-time monitoring systems addresses this challenge. Video surveillance systems …

Anomaly detection is a popular and vital task in various research contexts, which has been
studied for several decades. To ensure the safety of people's lives and assets, video …

Anomaly event detection has been extensively researched in computer vision in recent
years. Most conventional anomaly event detection methods can only leverage the single …