The field of computer vision stands to benefit significantly from automated crime scene
detection. In this work, we demonstrate the application of DNN (Deep Neural Network) to …

Violence recognition is challenging since recognition must be performed on videos acquired
by a lot of surveillance cameras at any time or place. It should make reliable detections in …

Violence has remained a momentous problem since time immemorial. Various scientific
studies are conducted in the recent past to identify the stimuli causing violent behavior …

Since criminals may engage in a wide variety of crime scenes in public spaces, the time
immediately before and after these events must be monitored. As a rule, there will be …

The demand for surveillance networks is increasing universally on account of decreasing
the faith in people. This leads to monitor the people during working, roaming, traveling, and …

Suspicious pre-and post-activity detection in crowded places is essential as many
suspicious activities may be carried out by culprits. Usually, there will be installations of …

This paper provides an extensive review of facial recognition technology, tracing its
historical evolution, exploring its functioning and applications, discussing the challenges it …

Shoplifting is a major problem for shop owners and many other parties, including the police.
Video surveillance generates huge amounts of information that staff cannot process in real …

Identification of abnormal behaviors affecting public safety (eg, shoplifting, robbery, and
stealing) is essential for preventing human casualties and property damage. Many studies …

In this systematic literature review, we delve into the realm of intention recognition within the
context of digital forensics and cybercrime. The rise of cybercrime has become a major …