Detect the Rail Track Flaw by Estimating the Camera Shaking
In this paper, the authors present a method of detecting the rail track bends and flaws. Different from the traditional machine-vision based methods which analyze the images of the rail surface, the authors estimate the shake of the camera - which is caused by the flaw or bend of the rail track - from the video used for railway environment surveillance. The authors provide both theoretical analysis - based on the theory of optical flow and passive navigation - and the corresponding fast algorithms, i.e. the brightness-pattern-matching code (BPMC) and shaking-type code (STC). The authors method uses the surveillance video of the railway environment directly, thus, the authors do not need extra expensive instruments.
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Availability:
- Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6948869
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Supplemental Notes:
- Abstract reprinted with permission of IEEE.
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Corporate Authors:
Institute of Electrical and Electronics Engineers (IEEE)
3 Park Avenue, 17th Floor
New York, NY United States 10016-5997 -
Authors:
- Wang, Liang
- Luo, Xiaoyue
- Horn, B K P
- Wang, Shengchun
- Luo, Siwei
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Conference:
- 17th International IEEE Conference on Intelligent Transportation Systems (ITSC14)
- Location: Qingdao , China
- Date: 2014-10-8 to 2014-10-11
- Publication Date: 2014-10
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 879-885
- Monograph Title: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC14)
Subject/Index Terms
- TRT Terms: Algorithms; Cameras; Defects; Detectors; Maintenance of way; Railroad tracks; Vibration
- Subject Areas: Data and Information Technology; Maintenance and Preservation; Railroads; I61: Equipment and Maintenance Methods;
Filing Info
- Accession Number: 01565004
- Record Type: Publication
- Files: TRIS
- Created Date: May 28 2015 9:23AM