A comprehensive study towards high-level approaches for weapon detection using classical machine learning and deep learning methods

P Yadav, N Gupta, PK Sharma - Expert Systems with Applications, 2023 - Elsevier
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 …

[HTML][HTML] Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization

Y Himeur, S Al-Maadeed, H Kheddar… - … Applications of Artificial …, 2023 - Elsevier
Recently, developing automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …

[HTML][HTML] Comparative analysis of skeleton-based human pose estimation

JL Chung, LY Ong, MC Leow - Future Internet, 2022 - mdpi.com
Human pose estimation (HPE) has become a prevalent research topic in computer vision.
The technology can be applied in many areas, such as video surveillance, medical …

Yoga pose classification: a CNN and MediaPipe inspired deep learning approach for real-world application

S Garg, A Saxena, R Gupta - Journal of Ambient Intelligence and …, 2023 - Springer
Yoga is a centuries-old style of exercise followed by sports personnel, patients, and
physiotherapist as their regime. A correct posture and technique are the key points in yoga …

YH-Pose: Human pose estimation in complex coal mine scenarios

XQ Dong, XC Wang, BJ Li, HY Wang, GC Chen… - … Applications of Artificial …, 2024 - Elsevier
Human pose estimation in continuous video frames captured from complex coal mine
scenes is challenging. The video frames in this scene may suffer from problems such as …

[HTML][HTML] Identity-preserved human posture detection in infrared thermal images: A benchmark

Y Guo, Y Chen, J Deng, S Li, H Zhou - Sensors, 2022 - mdpi.com
Human pose estimation has a variety of real-life applications, including human action
recognition, AI-powered personal trainers, robotics, motion capture and augmented reality …

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 …

Robust weapon detection in dark environments using Yolov7-DarkVision

P Yadav, N Gupta, PK Sharma - Digital Signal Processing, 2024 - Elsevier
Currently, weapon detection through video surveillance has been extensively studied using
deep learning techniques by researchers. However, limited attention has been given to the …

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, 2023 - 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 …