Camera surveillance is widely used in residential areas, highways, schools and other public
places. The monitoring and scanning of sudden abnormal events depend on humans …

As a significant research hotspot in the field of computer vision, video anomaly detection
plays an essential role in ensuring public safety. Anomaly detection remains a challenging …

Video anomaly detection aims to detect abnormal segments in a video sequence, which is a
key problem in video surveillance. Based on deep prediction methods, we propose a …

Automated detection of abnormalities in data has been studied in research area in recent
years because of its diverse applications in practice including video surveillance, industrial …

The existing anomaly detection methods can be divided into two popular models based on
reconstruction or future frame prediction. Due to the strong learning capacity, reconstruction …

Video anomaly detection is to automatically identify predefined anomalous contents (eg
abnormal objects, behaviors and scenes) in videos. The performance of video anomaly …

Currently, the mainstream methods for video anomaly detection include frame reconstruction
and video stream prediction. These methods are always confronted with the problem of over …

Video anomaly detection aims to automatically identify unusual objects or behaviours by
learning from normal videos. Previous methods tend to use simplistic reconstruction or …

Anomaly detection has attracted considerable search attention. However, existing anomaly
detection databases encounter two major problems. Firstly, they are limited in scale …

With the development of surveillance video analysis and the increase of security
requirements, video anomaly detection has attracted more and more attention. In the …