A comprehensive study towards high-level approaches for weapon detection using classical machine learning and deep learning methods
Surveillance systems do not give a rapid response to deal with suspicious activities such as
armed robbery in public places. Consequently, there is a need for technology that can …
armed robbery in public places. Consequently, there is a need for technology that can …
Weapon detection in real-time cctv videos using deep learning
MT Bhatti, MG Khan, M Aslam, MJ Fiaz - Ieee Access, 2021 - ieeexplore.ieee.org
Security and safety is a big concern for today's modern world. For a country to be
economically strong, it must ensure a safe and secure environment for investors and tourists …
economically strong, it must ensure a safe and secure environment for investors and tourists …
Real-time abnormal object detection for video surveillance in smart cities
With the adaptation of video surveillance in many areas for object detection, monitoring
abnormal behavior in several cameras requires constant human tracking for a single camera …
abnormal behavior in several cameras requires constant human tracking for a single camera …
Automatic handgun detection alarm in videos using deep learning
Current surveillance and control systems still require human supervision and intervention.
This work presents a novel automatic handgun detection system in videos appropriate for …
This work presents a novel automatic handgun detection system in videos appropriate for …
[PDF][PDF] Weapons detection for security and video surveillance using cnn and YOLO-v5s
AH Ashraf, M Imran, AM Qahtani… - CMC-Comput. Mater …, 2022 - researchgate.net
In recent years, the number of Gun-related incidents has crossed over 250,000 per year and
over 85% of the existing 1 billion firearms are in civilian hands, manual monitoring has not …
over 85% of the existing 1 billion firearms are in civilian hands, manual monitoring has not …
Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning
The automatic detection of cold steel weapons handled by one or multiple persons in
surveillance videos can help reducing crimes. However, the detection of these metallic …
surveillance videos can help reducing crimes. However, the detection of these metallic …
A handheld gun detection using faster r-cnn deep learning
GK Verma, A Dhillon - Proceedings of the 7th international conference …, 2017 - dl.acm.org
Today's, most of the criminal activities are taken place using handheld arms particularly gun,
pistol and revolver. Several surveys revealed that hand held gun is the foremost weapon …
pistol and revolver. Several surveys revealed that hand held gun is the foremost weapon …
Automatic handgun and knife detection algorithms: a review
Nowadays, the surveillance of criminal activities requires constant human monitoring. Most
of these activities are happening due to handheld weapons mainly pistol and gun. Object …
of these activities are happening due to handheld weapons mainly pistol and gun. Object …
Gun detection system using YOLOv3
Based on current situation around the world, there is major need of automated visual
surveillance for security to detect handgun. The objective of this paper is to visually detect …
surveillance for security to detect handgun. The objective of this paper is to visually detect …
Automatic handgun detection with deep learning in video surveillance images
There is a great need to implement preventive mechanisms against shootings and terrorist
acts in public spaces with a large influx of people. While surveillance cameras have become …
acts in public spaces with a large influx of people. While surveillance cameras have become …