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Video-Based Dynamic Stagger Measurement of Railway Overhead Power Lines Using Rotation-Invariant Feature Matching

Authors
Cho, Chul JinKo, Hanseok
Issue Date
6월-2015
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Affine moment invariant (AMI); feature extraction; scale-invariant feature transform (SIFT); tilting train; video-based measurement
Citation
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.16, no.3, pp.1294 - 1304
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Volume
16
Number
3
Start Page
1294
End Page
1304
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/93490
DOI
10.1109/TITS.2014.2361647
ISSN
1524-9050
Abstract
In this paper we propose an effective method of assessing the reliability of railway overhead power lines by measuring the dynamic stagger of contact wires based on a video monitoring technique. Previously developed video monitoring methods may produce severe errors when applied to tilting trains due to changes in position and orientation of the pantograph. In particular, we propose to employ feature-based image matching techniques that are invariant to rotation and robust to changes in camera viewpoint. A pantograph tilting model is first developed from the video data acquired from an actual train based on the motion dynamics of the stagger behavior on moving train platform. We then evaluate the proposed method by comparing it with the conventional template matching in terms of tracking error. The experimental results confirm that the proposed method shows superior performance in all train traveling sequences, particularly over the pantograph tilting train motion segment.
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공과대학 (전기전자공학부)
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