The automatic detection of human violence in video surveillance is an area of great attention
due to its application in security, monitoring, and prevention systems. Detecting violence in …

Automatic violence detection has remarkable importance from practical and academic point
of view. Generally speaking, detecting violence in a crowded locality, via computational …

The increasing number of surveillance cameras and security concerns have made automatic
violent activity detection from surveillance footage an active area for research. Modern deep …

Detecting violence in surveillance videos is crucial in activity recognition, with wide-ranging
applications in unmanned aerial vehicles (UAVs), internet video filtering, and related …

There is a significant need of intelligent surveillance systems to monitor people and
recognize their violent behavior at public environments (like banks, hospitals, market …

In recent years, surveillance cameras are widely deployed in public places, and the general
crime rate has been reduced significantly due to these ubiquitous devices. Usually, these …

Detection of a violence event in surveillance systems is playing a significant role in law
enforcement and city safety. The effectiveness of violence event detectors measures by the …

It is essential for public monitoring and security to detect violent behavior in surveillance
videos. However, it requires constant human observation and attention, which is a …

Automatic recognition of violence between individuals or crowds in videos has a broad
interest. In this work, an end-to-end deep neural network model for the purpose of …

Automatically analyzing violent content in surveillance videos is of profound significance on
many applications, ranging from Internet video filtration to public security protection. In this …