Background subtraction in real applications: Challenges, current models and future directions

B Garcia-Garcia, T Bouwmans, AJR Silva - Computer Science Review, 2020 - Elsevier
Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

A review on various methodologies used for vehicle classification, helmet detection and number plate recognition

S Sanjana, S Sanjana, VR Shriya, G Vaishnavi… - Evolutionary …, 2021 - Springer
Vehicle detection and classification has been an area of application of image processing
and machine learning which is being researched extensively in accordance with its …

Real‐time automatic helmet detection of motorcyclists in urban traffic using improved YOLOv5 detector

W Jia, S Xu, Z Liang, Y Zhao, H Min, S Li… - IET Image …, 2021 - Wiley Online Library
In traffic accidents, motorcycle accidents are the main cause of casualties, especially in
developing countries. The main cause of fatal injuries in motorcycle accidents is that …

Detecting safety helmet wearing on construction sites with bounding‐box regression and deep transfer learning

J Shen, X Xiong, Y Li, W He, P Li… - Computer‐Aided Civil …, 2021 - Wiley Online Library
Detecting safety helmet wearing in surveillance videos is an essential task for safety
management, compliance with regulations, and reducing the death rate from construction …

Detection of motorcyclists without helmet in videos using convolutional neural network

C Vishnu, D Singh, CK Mohan… - 2017 International joint …, 2017 - ieeexplore.ieee.org
In order to ensure the safety measures, the detection of traffic rule violators is a highly
desirable but challenging task due to various difficulties such as occlusion, illumination, poor …

Real-time detection of motorcyclist without helmet using cascade of cnns on edge-device

D Singh, C Vishnu, CK Mohan - 2020 IEEE 23rd International …, 2020 - ieeexplore.ieee.org
The real-time detection of traffic rule violators in a city-wide surveillance network is a highly
desirable but challenging task because it needs to perform computationally complex …

Analysis of deep learning frameworks for object detection in motion

V Gururaj, SV Ramesh, S Satheesh… - International …, 2022 - content.iospress.com
Object detection and recognition is a computer vision technology and is considered as one
of the challenging tasks in the field of computer vision. Many approaches for detection have …

Helmet use detection of tracked motorcycles using cnn-based multi-task learning

H Lin, JD Deng, D Albers, FW Siebert - IEEE access, 2020 - ieeexplore.ieee.org
Automated detection of motorcycle helmet use through video surveillance can facilitate
efficient education and enforcement campaigns that increase road safety. However, existing …

Two-wheeler vehicle traffic violations detection and automated ticketing for Indian road scenario

RS Charran, RK Dubey - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Traffic violation monitoring and control is a major concern in India due to excess crowd,
increasing commuters, bad traffic signal management, and rider mentality. It is obvious that …

Detecting motorcycle helmet use with deep learning

FW Siebert, H Lin - Accident Analysis & Prevention, 2020 - Elsevier
The continuous motorization of traffic has led to a sustained increase in the global number of
road related fatalities and injuries. To counter this, governments are focusing on enforcing …