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 …

Novel deep feature fusion framework for multi-scenario violence detection

SA Jebur, KA Hussein, HK Hoomod, L Alzubaidi - Computers, 2023 - mdpi.com
Detecting violence in various scenarios is a difficult task that requires a high degree of
generalisation. This includes fights in different environments such as schools, streets, and …

Toward fast and accurate violence detection for automated video surveillance applications

VD Huszar, VK Adhikarla, I Négyesi, C Krasznay - IEEE Access, 2023 - ieeexplore.ieee.org
Surveillance cameras are increasingly being used worldwide due to the proliferation of
digital video capturing, storage, and processing technologies. However, the large volume of …

A new approach for abnormal human activities recognition based on ConvLSTM architecture

R Vrskova, R Hudec, P Kamencay, P Sykora - Sensors, 2022 - mdpi.com
Recognizing various abnormal human activities from video is very challenging. This problem
is also greatly influenced by the lack of datasets containing various abnormal human …

Bus violence: An open benchmark for video violence detection on public transport

L Ciampi, P Foszner, N Messina, M Staniszewski… - Sensors, 2022 - mdpi.com
The automatic detection of violent actions in public places through video analysis is difficult
because the employed Artificial Intelligence-based techniques often suffer from …

Literature Review of Deep-Learning-Based Detection of Violence in Video

P Negre, RS Alonso, A González-Briones, J Prieto… - Sensors, 2024 - mdpi.com
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 …

An accurate violence detection framework using unsupervised spatial–temporal action translation network

TZ Ehsan, M Nahvi, SM Mohtavipour - The Visual Computer, 2024 - Springer
Automatic human behavior monitoring is essential for surveillance cameras in public and
private environments. Violent action is challenging because the available violence dataset is …

[HTML][HTML] Edge artificial intelligence and super-resolution for enhanced weapon detection in video surveillance

D Berardini, L Migliorelli, A Galdelli… - … Applications of Artificial …, 2025 - Elsevier
The prevalence of crimes involving handguns and knives underscores the importance of
early weapon detection. This, along with the spread of video surveillance systems, boosted …

Tuna swarm algorithm with deep learning enabled violence detection in smart video surveillance systems

G Aldehim, MM Asiri, M Aljebreen, A Mohamed… - IEEE …, 2023 - ieeexplore.ieee.org
In smart video surveillance systems, violence detection becomes challenging to ensure
public safety and security. With the proliferation of surveillance cameras in public areas …

FRMDB: Face recognition using multiple points of view

P Contardo, P Sernani, S Tomassini, N Falcionelli… - Sensors, 2023 - mdpi.com
Although face recognition technology is currently integrated into industrial applications, it
has open challenges, such as verification and identification from arbitrary poses …