Surveillance videos play an important role in ensuring the safety and security of public and
private spaces, buildings, and critical infrastructure. However, manually monitoring these …

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

Video anomaly detection is an important task for public security in the multimedia field. It
aims to distinguish events that deviate from normal patterns. As important semantic …

Anomaly detection in surveillance videos, as a special case of video-based action
recognition, is an important topic in multimedia community and public security. Currently …

In the last few years, due to the continuous advancement of technology, human behavior
detection and recognition have become important scientific research in the field of computer …

Anomaly detection in video surveillance is a highly developed subject that is attracting
increased attention from the research community. There is great demand for intelligent …

In current technological era, surveillance systems generate an enormous volume of video
data on a daily basis, making its analysis a difficult task for computer vision experts …

With the development of information technology and the popularization of monitoring
network, how to quickly and automatically detect abnormal behaviors in surveillance video is …

Anomaly detection for video surveillance gains more attention as the number of deployed
cameras constantly increases while the state-of-the-art (SOTA) machine learning methods …

The aim of surveillance services is to detect anomalous events that occur in given
surveillance videos. Most existing video anomaly detection methods rely on minimizing …