Chapter
Apr 26, 2012
An Extraction Method of Road Structure for Surveillance Video
Authors: Dong-hua Luo [email protected], Jian-hua Zhao [email protected], Xi-ying Li [email protected], and Zhen-bo Wang [email protected]Author Affiliations
Publication: ICCTP 2011: Towards Sustainable Transportation Systems
Abstract
The scene of surveillance video is usually wide and variable, and the target vehicles inside it are often small. Surveillance videos usually are not suitable for intelligent video applications, such as video vehicle detection. To solve this problem, an extraction method of road structure for surveillance video is proposed for intelligent applications. The principle of the method is developed to first extract road regions of surveillance videos by accumulating movement regions in video image sequences. Based on it, the left and right borderlines of road regions are pulled out using the Hough transform according to the statistical characteristics of road structure in surveillance video. Experiment results have shown that the road structure can be extracted precisely and effectively from the surveillance video of freeway and city expressway.
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© 2011 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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School of Information Sciences and Technology, Sun Yat-sen University, No. 132, East Outer Ring Road, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.E-mail: [email protected]
Management Department of Freeway, Traffic Management Bureau of the Guangdong Provincial Public Security Department, NO.388, Jianpeng Road, Baiyun District, Guangzhou 510440, China.E-mail: [email protected]
School of Engineering, Sun Yat-sen University, No.132, East Outer Ring Road, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.E-mail: [email protected]
Guangdong Provincial Key Laboratory of Intelligent Transportation System, Building 312, NO.135, West Xingang Road, Guangzhou 510275, China.E-mail: [email protected]
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