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 …

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 …

Intelligent video surveillance systems are rapidly being introduced to public places. The
adoption of computer vision and machine learning techniques enables various applications …

Analyzing surveillance videos is mandatory for the public and industrial security.
Overwhelming growth in computer vision fields has been made to automate the surveillance …

With the rapid growth of surveillance cameras to monitor the human activity demands such
system which recognize the violence and suspicious events automatically. Abnormal and …

Automatically detecting violence from surveillance footage is a subset of activity recognition
that deserves special attention because of its wide applicability in unmanned security …

The automation of surveillance systems, driven by the rapid development of computer vision
technology, has significantly enhanced the analysis of surveillance videos, particularly in …

Anomaly detection in crowded scenes plays a crucial role in automatic video surveillance to
avert any casualty in the areas witnessing the high amount of footfalls. The key challenge for …

Video surveillance has shown encouraging outcomes to monitor human activities and
prevent crimes in real time. To this extent, violence detection (VD) has received substantial …

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