With the widespread use of closed-circuit television (CCTV) surveillance systems in public
areas, crowd anomaly detection has become an increasingly critical aspect of the intelligent …

Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …

Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

In recent years, the demand for automatic crowd behavior analysis has surged, driven by the
need to ensure public safety and minimize casualties during events of public and religious …

This article discusses an effective technique for detecting abnormalities in Hajj crowd
videos. In order to guarantee the identification of anomalies in scenes, a trained and …

Coherent motions depict the individuals' collective movements in widely existing moving
crowds in physical, biological, and other systems. In recent years, similarity-based clustering …

Public security is a concept that, in western societies, is not given enough importance since
the crime rates are at socially acceptable levels. Nowadays, with the help of artificial …

Automating human activity recognition is one of computer vision's most appealing and
pragmatic research areas. In this article, we have addressed the problem of video-based …

The amount of DNA data is growing exponentially because of enormous applications
including gene therapy, new variety development, and evolutionary history tracking …

Recently, crowd counting has been continuously a hot topic in the field of computer vision
and achieved significant progress using deep learning techniques. Nevertheless, it is still a …