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Review on Vehicle Detection Based on Video Processing
International Journal of Science, Technology and Society
Volume 5, Issue 4, July 2017, Pages: 126-130
Received: May 19, 2017; Accepted: Jun. 2, 2017; Published: Jul. 18, 2017
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Authors
Jiao Zhiyuan, Automobile Engineering College, Shanghai University Engineering Science, Shanghai, China
Xing Yanfeng, Automobile Engineering College, Shanghai University Engineering Science, Shanghai, China
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Abstract
Compared with traditional vehicle detectors, video sensor has lots of advantages, i.e., easy installation and maintenance, wide monitoring areas, obtaining more kinds of traffic parameters and etc, so it has been widely used in Intelligent Traffic Systems. On this basis, discuss about the vehicle detection methods based on feature, model checking, frame difference, optical flow field. At the same time, the verification method is introduced, and the advantages and disadvantages of various algorithms are analyzed and compared. Finally, some suggestions for future research and application are presented, for example, vehicle detection is carried out by using a variety of detection methods and multi detector information fusion.
Keywords
Intelligent Transportation System, Vehicle Detection, Monocular Vision
To cite this article
Jiao Zhiyuan, Xing Yanfeng, Review on Vehicle Detection Based on Video Processing, International Journal of Science, Technology and Society. Vol. 5, No. 4, 2017, pp. 126-130. doi: 10.11648/j.ijsts.20170504.21
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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