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

We introduce a novel method for abnormal crowd event detection in surveillance videos.
Particularly, our work focuses on panic and escape behavior detection that may appear …

Surveillance of crowded places can benefit from improved techniques of anomaly detection
in crowd videos. Several existing methods have detected various types of crowd abnormal …

With the construction of a new power system and the proposal of a double carbon goal,
power system operation data are growing explosively, and the optimization of power system …

Anomaly detection in crowd videos has become a popular area of research for the computer
vision community. Several existing methods have determined anomaly as a deviation from …

Currently, the utilization of micro-computer-aided technologies for the dynamic motion
capture of sports digitalization is increasing gradually. To obtain the accurate athletics digital …

To ensure the public's safety such as in buses, it is very important to accurately judge
people's behaviors and give early warnings. If by watching the video surveillance manually …

Person re-identification is a challenging yet meaningful task to match two pedestrian images
captured from non-overlap** cameras for public security. Attention schemes have been …

Business Intelligence (BI) involves strategies and technologies for the analysis of business
information. Business data can be collected using data mining from online resources …

Detecting abnormal crowd behavior in surveillance videos is a significant challenge due to
the intricate and constantly evolving crowd dynamics. To solve this issue, we suggest a new …