Video Road Vehicle Detection and Tracking based on OpenCV

Video surveillance is widely used in security surveillance, military navigation, intelligent transportation, etc. Its main research fields are pattern recognition, computer vision and artificial intelligence. This article uses OpenCV to detect and track vehicles, and monitors by establishing an adap...

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Bibliographic Details
Published inJournal of Information and Communication Convergence Engineering, 20(3) Vol. 20; no. 3; pp. 226 - 233
Main Authors Wei Hou, Zhenzhen Wu, Hoekyung Jung
Format Journal Article
LanguageEnglish
Published 한국정보통신학회JICCE 2022
한국정보통신학회
Subjects
전자/정보통신공학
Background model
Video surveillance
Vehicle tracking
OpenCV
Static background
CAMSHIFT algorithm
Online AccessGet full text
ISSN2234-8255
2234-8883
DOI10.56977/jicce.2022.20.3.226

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Summary:Video surveillance is widely used in security surveillance, military navigation, intelligent transportation, etc. Its main research fields are pattern recognition, computer vision and artificial intelligence. This article uses OpenCV to detect and track vehicles, and monitors by establishing an adaptive model on a stationary background. Compared with traditional vehicle detection, it not only has the advantages of low price, convenient installation and maintenance, and wide monitoring range, but also can be used on the road. The intelligent analysis and processing of the scene image using CAMSHIFT tracking algorithm can collect all kinds of traffic flow parameters (including the number of vehicles in a period of time) and the specific position of vehicles at the same time, so as to solve the vehicle offset. It is reliable in operation and has high practical value. KCI Citation Count: 1
Bibliography:http://www.jicce.org/
ISSN:2234-8255
2234-8883
DOI:10.56977/jicce.2022.20.3.226