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

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

Anomaly detection in videos remains a challenging task due to the ambiguous definition of
anomaly and the complexity of visual scenes from real video data. Different from the …

Anomaly detection in videos is the task of identifying frames from a video sequence that
depict events that do not conform to expected behavior, which is an extremely challenging …

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 …

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

Anomaly detection in videos is a problem that has been studied for more than a decade.
This area has piqued the interest of researchers due to its wide applicability. Because of this …

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 …

Video anomaly detection (VAD) is currently a trending research area within computer vision,
given that anomalies form a key detection objective in surveillance systems, often requiring …

Detection of abnormality in video crowded scenes is highly challenging in computer vision
over the past decades. We propose a method for the detection of abnormal events in …