DocumentCode :
2840379
Title :
Detection of vehicle beating trajectories using color license plate location
Author :
Xu, Hongke ; Fang, Jianwu ; Hu, Qiaoling ; He, Mei ; Li, Juan
Author_Institution :
Dept. of Electron. & Control Eng., Chang´´an Univ., Xi´´an, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
4211
Lastpage :
4216
Abstract :
In order to prevent the phenomenon that the lorries take some illegal operations, such as jumping and taking the s-shaped line so as to reduce the vehicle weight when they are passing the highway toll station, and also in order to curtail fees disputes in the meantime, this article studied the algorithm which can detect the vehicle beating trajectory automatically. Firstly, license plates are located by HSI color space and texture features. Secondly, it achieved the position of license plates more exactly with the K-means clustering. Furthermore, plate centroid was calculated by image threshold, morphology and connected component labeling algorithm. Because there is hardly distortion for plate centroid in the image sequence, which can be used for calculating the centroid trajectory between the first image frame and the following image frames, and characterizing the vehicle´s movement pattern. In order to utilize the hard disk space which is used for saving the image sequence efficiently, improved track detection method was proposed. Through experiments, trajectories of vehicles can be reflected. And it provided the basis for follow-up study.
Keywords :
image colour analysis; image segmentation; image sequences; image texture; object detection; pattern clustering; road vehicles; HSI color space; K-means clustering; centroid trajectory; color license plate location; connected component labeling algorithm; image frame; image morphology; image sequence; image threshold; plate centroid; texture features; track detection method; vehicle beating trajectory detection; Automated highways; Clustering algorithms; Image color analysis; Image motion analysis; Image sequences; Licenses; Optical distortion; Road vehicles; Vehicle detection; Vehicle dynamics; HSI Color Model; Image Processing; K-means Clustering; Texture Analysis; Track Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498385
Filename :
5498385
Link To Document :
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