Video Surveillance Systems (VSSs) are used in a wide range of applications including
public safety and perimeter security. They are deployed in places such as markets …

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 …

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

Despite the unchallenged performance, deep neural network (DNN) based object detectors
(OD) for computer vision have inherent, hard-to-verify limitations like brittleness, opacity, and …

Abstract Closed Circuit Television (CCTV) cameras are installed and monitored in private
and open spaces for security purposes. The video and image footages are used for rapid …

Violent assaults and homicides occur daily, and the number of victims of mass shootings
increases every year. However, this number can be reduced with the help of Closed Circuit …

Beavers are ecosystem engineers that create and maintain riparian wetland ecosystems in a
variety of ecologic, climatic, and physical settings. Despite the large‐scale implications of …

Rising armed conflicts and violent agitations in populated areas have upstretched stark
trepidations worldwide. Especially, the armed conflicts are increasingly being fought using …

Weapon detection systems play a significant role in ensuring public safety, specifically in
surveillance scenarios. But, poor performance has been shown by the prevailing research …

For a better future in machine learning (ML), it is necessary to modify our current concepts to
get the fastest ML. Many designers had attempted to find the optimal learning rates in their …