The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …

As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …

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 …

This study proposed an AlexNet-based crowd anomaly detection model in the video (image
frames). The proposed model was comprised of four convolution layers (CLs) and three …

The variable time-dependent densities in crowd motion and several occlusions in real
scenarios make the task of spotting anomalies very laborious. Also, an anomalous entity can …

Detecting anomalous crowd behavioral patterns from videos is an important task in video
surveillance and maintaining public safety. In this work, we propose a novel architecture to …

Crowd anomaly detection is one of the most popular topics in computer vision in the context
of smart cities. A plethora of deep learning methods have been proposed that generally …

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

Automated crowd anomaly detection and crowd scene analysis is a novel and emerging
field of computer science and engineering domain. The analysis of crowd behavior based …

Automating tasks through human activity recognition in video data has become increasingly
vital. Deep learning has yielded versatile activity recognition systems applicable in …