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http://dx.doi.org/10.5391/IJFIS.2016.16.1.13

Lane Detection for Parking Violation Assessments  

Kim, A-Ram (Department of Advanced Engineering, Kyungnam University)
Rhee, Sang-Yong (Department of Computer Engineering, Kyungnam University)
Jang, Hyeon-Woong (Department of Advanced Engineering, Kyungnam University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.16, no.1, 2016 , pp. 13-20 More about this Journal
Abstract
In this study, we propose a method to regulate parking violations using computer vision technology. A still color image of the parked vehicle under question is obtained by a camera mounted on enforcement vehicles. The acquired image is preprocessed through a morphological algorithm and binarized. The vehicle's shadows are detected from the binarized image, and lanes are identified using the information from the yellow parking lines that are drawn on the load. Whether parking is illegal is determined by the conformity of the lanes and the vehicle's shadow.
Keywords
Computer vision; Enforcement vehicles; Lane detection; Parking violations;
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Times Cited By KSCI : 7  (Citation Analysis)
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