Surveillance systems do not give a rapid response to deal with suspicious activities such as
armed robbery in public places. Consequently, there is a need for technology that can …

In recent years, the number of crimes with weapons has grown on a large scale worldwide,
mainly in locations where enforcement is lacking or possessing weapons is legal. It is …

Security and safety is a big concern for today's modern world. For a country to be
economically strong, it must ensure a safe and secure environment for investors and tourists …

Recent state-of-the-art detectors generally exploit the Feature Pyramid Networks (FPN) due
to its advantage of detecting objects at different scales. Despite significant advances in …

The state of the art in violence detection in videos has improved in recent years thanks to
deep learning models, but it is still below 90% of average precision in the most complex …

Object recognition is the technique of specifying the location of various objects in images or
videos. There exist numerous algorithms for the recognition of objects such as R-CNN, Fast …

Applying CNN-based object detection models to the task of weapon detection in video-
surveillance is still producing a high number of false negatives. In this context, most existing …

In recent years, deep learning has demonstrated tremendous potential in the real world.
Object detection is a critical real-world task for deep learning. You Only Look Once (YOLO) …

The early detection of handguns and knives from surveillance videos is crucial to enhance
people's safety. Despite the increasing development of Deep Learning (DL) methods for …

Introducing efficient automatic violence detection in video surveillance or audiovisual
content monitoring systems would greatly facilitate the work of closed-circuit television …