Millions of security cameras were placed in public spaces, generating large quantities of
video data. There is a need to develop smart techniques to identify and classify objects …

With growing security threats, many online and offine frameworks have been proposed for
anomaly detection in video sequences. However, existing online anomaly detection …

Video Surveillance (VS) systems are popular. For enhancing the safety of public lives as
well as assets, it is utilized in public places like marketplaces, hospitals, streets, education …

Anomaly detection in crowd scene has attracted an increasing attention in video
surveillance, but a precise detection still remains a challenge. This paper presents a novel …

Fast and automated recognizing of abnormal behaviors in crowded scenes is significantly
effective in increasing public security. The traditional procedure of recognizing abnormalities …

In this paper, we propose a new approach for anomaly detection in video surveillance. This
approach is based on a nonparametric Bayesian regression model built upon Gaussian …

It is quite challenging to find anomalies in camera or surveillance camera data because of
the enormous environmental changes and human movement. These challenges are also …

Accepted: 3 November 2021 Detection of anomalies in crowded videos has become an
eminent field of research in the community of computer vision. Variation in scene normalcy …

Automated video surveillance frameworks quickly distinguish surprising and basic
circumstances in a packed climate that would help to pursue sufficient choices for security …

Video anomaly detection is an important and crucial area from security point of view.
Anomaly detection means identifying unusual activities. It is a tedious task to recognize …