Document Type
Article
Publication Date
1-1-2010
Abstract
Video and image processing has been used for traffic surveillance, analysis and monitoring of traffic conditions in many cities and urban areas. This paper aims to present another approach to estimate the vehicles velocity. In this study, the captured traffic movies are collected with a stationary camera which is mounted on a freeway. The camera was calibrated based on geometrical equations that were supported directly by using references. Camera calibration for exact measurements may be possible while accurate speed estimation can still be quite difficult to achieve. The designed system has the ability to be extended to another related traffic application. The average error of the detected vehicle speed was ± 7 km/h and the experiment was operated at different resolutions and different video sequences.
Keywords
Vehicle speed detection, Video sequence, computer vision, Background modeling, Traffic monitoring
Publication Title
International Journal of the Physical Sciences
ISSN
1992-1950
Recommended Citation
Karim, Mohamed Rehan and Dehghani, A., "Vehicle speed detection in video image sequences using CVS method" (2010). Research Publications (2006 to 2010). 4604.
https://knova.um.edu.my/research_publications_2006_2010/4604
Divisions
fac_eng
Volume
5
Issue
17
Publisher
Academic Journals
Additional Information
729HA Times Cited:2 Cited References Count:13