Background subtraction in real applications: Challenges, current models and future directions
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 …
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 …
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
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 …
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 …
management, compliance with regulations, and reducing the death rate from construction …
Detection of motorcyclists without helmet in videos using convolutional neural network
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 …
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
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 …
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 …
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
Automated detection of motorcycle helmet use through video surveillance can facilitate
efficient education and enforcement campaigns that increase road safety. However, existing …
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 …
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 …
road related fatalities and injuries. To counter this, governments are focusing on enforcing …