A comprehensive survey on computer vision based concepts, methodologies, analysis and applications for automatic gun/knife detection

R Debnath, MK Bhowmik - Journal of Visual Communication and Image …, 2021 - Elsevier
The ability to detect gun and gun held in hand or other body parts is a typical human skill.
The same problem presents an imperative task for computer vision system. Automatic …

[PDF][PDF] Firearm Detection using Convolutional Neural Networks.

RF de Azevedo Kanehisa… - ICAART (2), 2019 - pdfs.semanticscholar.org
This papers studies the application of the YOLO algorithm to create a firearm detection
system, demonstrating its effectiveness in this task. We also constructed a dataset based on …

Convolutional neural networks based weapon detection: a comparative study

PAK Das, DS Tomar - Fourteenth International Conference on …, 2022 - spiedigitallibrary.org
Lately, one of the most common illegal activities include the use of shooting weapons. In
such dangerous situations, there is a dire need of preventive measures that can …

Graph clustering for weapon discharge event detection and tracking in infrared imagery using deep features

SD Bhattacharjee, A Talukder - Pattern Recognition and …, 2017 - spiedigitallibrary.org
This paper addresses the problem of detecting and tracking weapon discharge event in an
Infrared Imagery collection. While most of the prior work in related domains exploits the vast …

Novel framework for automatic localisation of gun carrying by moving person using various indoor and outdoor mimic and real‐time views/Scenes

R Debnath, MK Bhowmik - IET Image Processing, 2020 - Wiley Online Library
Hand held gun detection has an important application in both the field of video forensic and
surveillance, because, gun is operative by hand only while committing any crime with it. The …