With the popularization of the city monitoring system, surveillance videos have been
increasingly presented. Traditional methods for video analytic require professionals to …

Video anomaly detection refers to the detection and identification of events that deviate from
normal behavior, which has a wide range of applications in surveillance video. In this paper …

Detecting anomalous events in videos is one of the most popular computer vision topics. It is
considered a challenging task in video analysis due to its definition, which is subjective or …

Video Surveillance Systems (VSS) are widely utilized in public and private areas to increase
public safety, such as shopping malls, markets, banks, hospitals, educational institutions …

Anomaly detection in video assists in the resolution of a wide range of problems. A robust
anomaly detection model is necessary due to the growing use of surveillance cameras in …

Recent years, with the widespread use of video surveillance technology, video anomaly
detection, which can intelligently analyze massive videos and quickly discover the …

Videos represent the primary source of information for surveillance applications. Video
material is often available in large quantities but in most cases it contains little or no …

Video anomaly detection is the problem of detecting unusual events in videos. The
challenges of this task lie mainly in the following aspects: first, unusual events tend to make …

Deep learning is a powerful computing strategy that has changed the landscape of computer
vision. It has been used to tackle complicated cognitive tasks such as detecting …

An anomaly is a pattern, behavior, or event that does not frequently happen in an
environment. Video anomaly detection has always been a challenging task. Home security …