Karim, Mohamed Rehan and Dehghani, A. (2010) Vehicle speed detection in video image sequences using CVS method. International Journal of the Physical Sciences, 5 (17). pp. 2555-2563. ISSN 1992-1950,
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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.
Item Type: | Article |
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Funders: | UNSPECIFIED |
Additional Information: | 729HA Times Cited:2 Cited References Count:13 |
Uncontrolled Keywords: | Vehicle speed detection, Video sequence, computer vision, Background modeling, Traffic monitoring |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Faculty of Engineering |
Depositing User: | Mr Jenal S |
Date Deposited: | 04 Apr 2014 01:21 |
Last Modified: | 20 Mar 2019 08:22 |
URI: | http://eprints.um.edu.my/id/eprint/8775 |
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