Real-time crowd behavior recognition in surveillance videos based on deep learning methods

F Rezaei, M Yazdi - Journal of Real-Time Image Processing, 2021 - Springer
Automatic video surveillance in public crowded places has been an active research area for
security purposes. Traditional approaches try to solve the crowd behavior recognition task …

Motion estimation of high density crowd using fluid dynamics

MU Farooq, MNBM Saad, AS Malik… - The Imaging Science …, 2020 - Taylor & Francis
Motion estimation (ME) being a fundamental process of crowd behavior analysis
experienced real challenges at high densities due to visual ambiguities and occlusion …

Deep Learning Approach for Divergence Behavior Detection at High Density Crowd

MU Farooq, MN Mohamad Saad, Y Saleh… - … Conference on Artificial …, 2022 - Springer
At high-density crowd gatherings, people naturally escape from the region where any
unexpected event happens. Escape in high-density crowds appears as a divergence pattern …

Social Force Model-Based Video Anomaly Detection Approaches

X Wang - Anomaly Detection in Video Surveillance, 2024 - Springer
The research on spatiotemporal abnormal behavior recognition has two main categories,
individual abnormal behavior recognition and crowd abnormal behavior recognition …