As global populations increase, the analysis of crowds garners significant attention from
both social and technological perspectives. The diverse nature of crowd behavior poses …

The use of video survemance has become crucial in, addressing the growing concerns of
crime and terrorism in the world, leading to an increased need for automated data …

Recognizing and localizing anomalous events in crowd scenes is a challenging problem
that has attracted the attention of researchers in computer vision. Surveillance cameras …

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

Abnormal behavior methods have attempted to reduce execution time, computational
complexity, efficiency, robustness against pixel occlusion, and generalizability. This …

Video surveillance plays a crucial role in improving people's well-being and reducing social
crime rates. In order to assist observers to improve the efficiency of surveillance, a large …

This research has been investigating an automatic and online crowd anomaly detection
model by exploring a novel compound image descriptor generated from live video streams …

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 …

Identifying suspicious activities or behaviors is essential in the domain of Anomaly Detection
(AD). In crowded scenes, the presence of inter-object occlusions often complicates the …

Currently, CCTV (Closed Circuit Television) cameras are used for surveillance by alerting
the security officer if any malfunction or abnormal activity happens. Abnormal activities may …