With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …

Recent advancements in intelligent surveillance systems for video analysis have been a
topic of great interest in the research community due to the vast number of applications to …

In current technological era, surveillance systems generate an enormous volume of video
data on a daily basis, making its analysis a difficult task for computer vision experts …

Performing dimensionality reduction in the camera captured images without any loss is
remaining as a big challenge in image processing domain. Generally, camera surveillance …

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 …

We investigate and analyze methods to violence detection in this study to completely
disassemble the present condition and anticipate the emerging trends of violence discovery …

While action recognition has become an important line of research in computer vision, the
recognition of particular events, such as aggressive behaviors, or fights, has been relatively …

Violent video constitutes a threat to public security, and effective detection algorithms are in
urgent need. In order to improve the detection accuracy of 3D convolutional neural networks …

It is very important to automatically detect violent behaviors in video surveillance scenarios,
for instance, railway stations, gymnasiums and psychiatric centers. However, the previous …

This paper introduces a new method for recognizing violent behavior by learning contextual
relationships between related people from human skeleton points. Unlike previous work, we …