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 the last few years, visual sensors are deployed almost everywhere, generating a massive
amount of surveillance video data in smart cities that can be inspected intelligently to …

This paper simultaneously addresses three limitations associated with conventional
skeleton-based action recognition; skeleton detection and tracking errors, poor variety of the …

Physical aggression is a serious and widespread problem in society, affecting people
worldwide. It impacts nearly every aspect of life. While some studies explore the root causes …

Surveillance cameras are installed across various sectors of a smart city in order to capture
ongoing events for monitoring purposes. The analysis of these surveillance videos is an …

This study investigates unsupervised anomaly action recognition, which identifies video-
level abnormal-human-behavior events in an unsupervised manner without abnormal …

In our constantly monitored world, surveillance cameras play a crucial role in curbing crime
and violence in public spaces by serving as a deterrent. To enhance their effectiveness …

Abstract Human Activity Recognition (HAR) plays a crucial role in communication and the
Internet of Things (IoT), by enabling vision sensors to understand and respond to human …

Nowadays, for controlling crime, surveillance cameras are typically installed in all public
places to ensure urban safety and security. However, automating Human Activity …

The automatic detection of violent actions in public places through video analysis is difficult
because the employed Artificial Intelligence-based techniques often suffer from …