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

The importance of international collaboration in the research field is well-documented, but its
impact on the number of citations received by research publications is not fully understood …

In this paper we introduce CUE-Net a novel architecture designed for automated violence
detection in video surveillance. As surveillance systems become more prevalent due to …

The detection of violence in videos has become an extremely valuable application in real-
life situations, which aim to maintain and protect people's safety. Despite the complexities …

The increasing popularity of compact and inexpensive cameras, eg dash cameras, body
cameras, and cameras equipped on robots, has sparked a growing interest in detecting …

Surveillance video analysis using automated AI-based techniques is a prominent research
field with real-world applications. Several techniques aiming at recognizing activities …

Abstract Automatic Violence Detection and Classification (AVDC) with deep learning has
garnered significant attention in computer vision research. This paper presents a novel …

Violence detection is a critical task aimed at identifying violent behavior in video by
extracting frames and applying classification models. However, the complexity of video data …

Human violence recognition is an area of great interest in the scientific community due to its
broad spectrum of applications, especially in video surveillance systems, because detecting …

In the era of Internet of Things (IoT), the data from edge devices, wearables and other
sensors have become available easily and can be efficiently used for knowledge extraction …