A systematic review of using machine learning and natural language processing in smart policing

P Sarzaeim, QH Mahmoud, A Azim, G Bauer, I Bowles - Computers, 2023 - mdpi.com
Smart policing refers to the use of advanced technologies such as artificial intelligence to
enhance policing activities in terms of crime prevention or crime reduction. Artificial …

Systematic review on weapon detection in surveillance footage through deep learning

T Santos, H Oliveira, A Cunha - Computer Science Review, 2024 - Elsevier
In recent years, the number of crimes with weapons has grown on a large scale worldwide,
mainly in locations where enforcement is lacking or possessing weapons is legal. It is …

Human pose estimation for mitigating false negatives in weapon detection in video-surveillance

A Lamas, S Tabik, AC Montes, F Pérez-Hernández… - Neurocomputing, 2022 - Elsevier
Applying CNN-based object detection models to the task of weapon detection in video-
surveillance is still producing a high number of false negatives. In this context, most existing …

Development and optimization of deep learning models for weapon detection in surveillance videos

S Ahmed, MT Bhatti, MG Khan, B Lövström, M Shahid - Applied Sciences, 2022 - mdpi.com
Featured Application This work has applied computer vision and deep learning technology
to develop a real-time weapon detector system and tested it on different computing devices …

Violencenet: Dense multi-head self-attention with bidirectional convolutional lstm for detecting violence

FJ Rendón-Segador, JA Álvarez-García, F Enríquez… - Electronics, 2021 - mdpi.com
Introducing efficient automatic violence detection in video surveillance or audiovisual
content monitoring systems would greatly facilitate the work of closed-circuit television …

[HTML][HTML] Improving handgun detection through a combination of visual features and body pose-based data

J Ruiz-Santaquiteria, A Velasco-Mata, N Vallez… - Pattern Recognition, 2023 - Elsevier
Early detection of the presence of dangerous objects such as handguns in Closed-Circuit
Television (CCTV) images is vital to reduce the potential damage. In this work, a novel …

Conditioned cooperative training for semi-supervised weapon detection

JLS González, JA Álvarez-García, FJ Rendón-Segador… - Neural networks, 2023 - Elsevier
Violent assaults and homicides occur daily, and the number of victims of mass shootings
increases every year. However, this number can be reduced with the help of Closed Circuit …

One step further: evaluating interpreters using metamorphic testing

M Fan, J Wei, W Jin, Z Xu, W Wei, T Liu - Proceedings of the 31st ACM …, 2022 - dl.acm.org
The black-box nature of the Deep Neural Network (DNN) makes it difficult for people to
understand why it makes a specific decision, which restricts its applications in critical tasks …

YOLOv5-based weapon detection systems with data augmentation

L Sumi, S Dey - International Journal of Computers and …, 2023 - Taylor & Francis
Closed-Circuit Television (CCTV) cameras in public places have become more prominent
with the rising firearm-related criminal activities, such as robberies, open firing, threats at …

Pose4gun: a pose-based machine learning approach to detect small firearms from visual media

R Chatterjee, A Chatterjee - Multimedia Tools and Applications, 2024 - Springer
Violence due to firearms is a menace and is growing across the globe. Mostly small firearms
such as pistols and revolvers are used in close proximity for violence in public places. Our …