Real-Time Detection of Vehicle Speed Based on Video Image

With the continuous development and improvement of Intelligent Transportation System, more and more attention has been paid to the real-time and accurate speed information detection. Video vehicle speed detection based on machine vision has attracted the attention of the researchers due to its pract...

Full description

Saved in:
Bibliographic Details
Published inInternational Conference on Measuring Technology and Mechatronics Automation (Print) pp. 313 - 317
Main Authors Cheng, Genyuan, Guo, Yubin, Cheng, Xiaochun, Wang, Dongliang, Zhao, Jiandong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2020
Subjects
Image processing
Machine vision
Measurement uncertainty
Mechatronics
Process control
Real-time systems
Streaming media
Target tracking
The speed test
Online AccessGet full text

Cover

More Information
Summary:With the continuous development and improvement of Intelligent Transportation System, more and more attention has been paid to the real-time and accurate speed information detection. Video vehicle speed detection based on machine vision has attracted the attention of the researchers due to its practical convenience and other advantages. In this paper, we propose a target tracking method based on video image feature matching vehicle to simplify the algorithm complexity and obtain high accuracy. The background subtraction method based on KNN algorithm is used to identify vehicle targets and obtain good initial vehicle characteristics. Experimental results show that the method has high real-time and the relative error of vehicle speed detection can be controlled at about 5%.
ISSN:2157-1481
DOI:10.1109/ICMTMA50254.2020.00076