A comprehensive review on vision-based violence detection in surveillance videos

FUM Ullah, MS Obaidat, A Ullah, K Muhammad… - ACM Computing …, 2023 - dl.acm.org
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 …

An Adam based CNN and LSTM approach for sign language recognition in real time for deaf people

SK Paul, MAA Walid, RR Paul, MJ Uddin… - Bulletin of Electrical …, 2024 - beei.org
Hand gestures and sign language are crucial modes of communication for deaf individuals.
Since most people can't understand sign language, it's hard for a mute and an average …

An end-to-end framework for real-time violent behavior detection based on 2D CNNs

P Zhang, L Dong, X Zhao, W Lei, W Zhang - Journal of Real-Time Image …, 2024 - Springer
Violent behavior detection (VioBD), as a special action recognition task, aims to detect
violent behaviors in videos, such as mutual fighting and assault. Some progress has been …

[PDF][PDF] An efficient deep learning model for violence detection

M Haque, S Afsha, H Nyeem - Available at SSRN 4327716, 2023 - papers.ssrn.com
Abstract Automatic Violence Detection and Classification (AVDC) with deep learning is a
prominent research field with huge potential in the computer vision domain. This paper …

BrutNet: A novel approach for violence detection and classification using DCNN with GRU

M Haque, H Nyeem, S Afsha - The Journal of Engineering, 2024 - Wiley Online Library
Abstract Automatic Violence Detection and Classification (AVDC) with deep learning has
garnered significant attention in computer vision research. This paper presents a novel …

[PDF][PDF] Utilizing Machine Learning and Computer Vision for the Detection of Abusive Behavior in IoT Systems.

SZ Khalaf, MI Shujaa, ABA Alwahhab - International Journal of Intelligent …, 2023 - inass.org
Law enforcement and civilian protection are increasingly dependent on surveillance
technologies. To prevent social, economic, and environmental harm, video surveillance …

Deep CNNS and fractal-based sequence learning for violence detection in surveillance videos

FUM Ullah, K Muhammad, SW Baik - Intelligent Fractal-Based Image …, 2024 - Elsevier
Deep learning has received a great deal of attention from researchers for its reasonable
outcomes in different fields of computer vision due to their wide range of applications. The …

An empirical study of various detection based techniques with divergent learning's

BP Bendale, S Swati Dattatraya Shirke - Web Intelligence, 2024 - journals.sagepub.com
The prevalence of violence against women and children is concerning, and the initial step is
to raise awareness of this issue. Certain forms of detection based techniques are not …

Sentinel Eyes Violence Detection System

S Deshmukh, D Mistry, S Joshi, C Bhole - International Conference on …, 2024 - Springer
In recent years, the proliferation of surveillance systems has increased the demand for
effective methods to detect violent activities in various environments. This project proposes a …

Violence detection in videos: a review on hand-crafted and deep-learning techniques

Violence is a pervasive and destructive force in society, causing physical and emotional
harm to victims and their families. The impact of violence is not limited to individuals but also …