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     Research Journal of Applied Sciences, Engineering and Technology


Vehicle Speed Detection Based on Video at Urban Intersection

1Zhenqian Shen, 1Shifu Zhou, 1Changyun Miao and 2Yan Zhang
1Tianjin Polytechnic University, Tianjin 300387, China
2Military Transportation University, Tianjin 300161, China
Research Journal of Applied Sciences, Engineering and Technology  2013  17:4336-4342
http://dx.doi.org/10.19026/rjaset.5.4426  |  © The Author(s) 2013
Received: August 02, 2012  |  Accepted: September 08, 2012  |  Published: May 01, 2013

Abstract

In order to obtain the average speed of vehicle at plane intersection on urban traffic, an algorithm of average speed measurement based on the video is proposed in this study. Video is captured against the motion of the vehicle by the camera which is mounted on the cross bar at the intersection. The detection zone is set between the stop line and the pedestrian road. These methods of background difference, shadow removal and region filling of morphology are applied to detection zone. Then, method of vertical projection is employed to the obtained binary image, judging whether the vehicles exist in the detection region by vertical projection diagram and calculating the total frames that the vehicle drive into and depart out the detection region. The instantaneous velocity is obtained by using the frame rate of the camera and the width of the detection region and then to calculate the mean velocity.

Keywords:

Intelligent transportation systems, urban intersection, vertical projection, vehicle speed detection,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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