Lane Detection in Video-Based Intelligent Transportation Monitoring via Fast Extracting and Clustering of Vehicle Motion Trajectories
Joint Authors
Xin, Le
Ren, Jianqiang
Chen, Yangzhou
Shi, Jianjun
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-09
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Lane detection is a crucial process in video-based transportation monitoring system.
This paper proposes a novel method to detect the lane center via rapid extraction and high accuracy clustering of vehicle motion trajectories.
First, we use the activity map to realize automatically the extraction of road region, the calibration of dynamic camera, and the setting of three virtual detecting lines.
Secondly, the three virtual detecting lines and a local background model with traffic flow feedback are used to extract and group vehicle feature points in unit of vehicle.
Then, the feature point groups are described accurately by edge weighted dynamic graph and modified by a motion-similarity Kalman filter during the sparse feature point tracking.
After obtaining the vehicle trajectories, a rough k-means incremental clustering with Hausdorff distance is designed to realize the rapid online extraction of lane center with high accuracy.
The use of rough set reduces effectively the accuracy decrease, which results from the trajectories that run irregularly.
Experimental results prove that the proposed method can detect lane center position efficiently, the affected time of subsequent tasks can be reduced obviously, and the safety of traffic surveillance systems can be enhanced significantly.
American Psychological Association (APA)
Ren, Jianqiang& Chen, Yangzhou& Xin, Le& Shi, Jianjun. 2014. Lane Detection in Video-Based Intelligent Transportation Monitoring via Fast Extracting and Clustering of Vehicle Motion Trajectories. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-450260
Modern Language Association (MLA)
Ren, Jianqiang…[et al.]. Lane Detection in Video-Based Intelligent Transportation Monitoring via Fast Extracting and Clustering of Vehicle Motion Trajectories. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-450260
American Medical Association (AMA)
Ren, Jianqiang& Chen, Yangzhou& Xin, Le& Shi, Jianjun. Lane Detection in Video-Based Intelligent Transportation Monitoring via Fast Extracting and Clustering of Vehicle Motion Trajectories. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-450260
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-450260