Methods of vehicle recognition and detecting traffic rules violations on motion picture based on opencv framework

Date
2021
Authors
Fastiuk, Yevhen
Bachynskyy, Ruslan
Huzynets, Nataliia
Journal Title
Journal ISSN
Volume Title
Publisher
Lviv Politechnic Publishing House
Abstract
In this era, people using vehicles is getting increased day by day. As pedestrians leading a dog for a walk, or hurrying to their workplace in the morning, we’ve all experienced unsafe, fast-moving vehicles operated by inattentive drivers that nearly mow us down. Many of us live in apartment complexes or housing neighborhoods where ignorant drivers disregard safety and zoom by, going way too fast. To plan, monitor and also control these vehicles is becoming a big challenge. In the article, we have come up with a solution to the above problem using the video surveillance considering the video data from the traffic cameras. Using computer vision and deep learning technology we will be able to recognize violations of rules. This article will describe modern CV and DL methods to recognize vehicle on the road and traffic violations of rules by them. Implementation of methods can be done using OpenCV Python as a tool. Our proposed solution can recognize vehicles, track their speed and help in counting the objects precisely.
Description
Keywords
OpenCV, Object Detection, Object Tracking, Deep Neural Network, CV
Citation
Fastiuk Ye. Methods of vehicle recognition and detecting traffic rules violations on motion picture based on opencv framework / Yevhen Fastiuk, Ruslan Bachynskyy, Nataliia Huzynets // Advances in Cyber-Physical Systems. – Lviv : Lviv Politechnic Publishing House, 2021. – Volume 6, № 2. – P. 105–111 . – Bibliography: 10 titles.