Video-based dynamic stagger measurement of railway overhead power lines using rotation-invariant feature matching

Chul Jin Cho, Hanseok Ko

Research output: Contribution to journalArticle

24 Citations (Scopus)

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.

Original languageEnglish
Article number6936877
Pages (from-to)1294-1304
Number of pages11
JournalIEEE Transactions on Intelligent Transportation Systems
Volume16
Issue number3
DOIs
Publication statusPublished - 2015 Jun 1

Keywords

  • Affine moment invariant (AMI)
  • feature extraction
  • scale-invariant feature transform (SIFT)
  • tilting train
  • video-based measurement

ASJC Scopus subject areas

  • Automotive Engineering
  • Computer Science Applications
  • Mechanical Engineering

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