Abstract Despite the Video Violence Detection (VVD) plays a critical role in video
surveillance, it is not trivial in crowded scenes due to the complexity and diversity of …

Rapid developments in technology have led to increasing numbers of video surveillance
devices in the home environment. The importance of video privacy protection has spurred …

Most existing violence recognition methods have complex network structures and high cost
of computation and cannot meet the requirements of large-scale deployment. The purpose …

Online monitoring of public places could prevent the occurrence of violent actions, while the
efficiency of utilized methods plays a key role in detecting abnormal events in a short time …

The challenging problems addressed by vision-based human motion recognition and its
wide range of potential applications have captured the interest of numerous researchers …

Video violence recognition based on deep learning concerns accurate yet scalable human
violence recognition. Currently, most state-of-the-art video violence recognition studies use …

Detection of violence at an earlier phase is crucial to intercepting potential criminal activities
such as murders, rapes, and snatching. It is a critical aspect of public safety and security …

Violence detection in surveillance video processing is a useful capability helping discover
abnormal events in a variety of places. Utilizing methods considering the accuracy and …

Abstract Automatic Violence Detection and Classification (AVDC) with deep learning has
garnered significant attention in computer vision research. This paper presents a novel …

Monitoring systems are becoming more crucial for city security, specifically to address any
kind of violence. Manual detection of violence through video surveillance requires well …