On-Vehicle Video Localization Technique based on Video Search using Real Data on the Web

Kazuma Fukumoto, Hiroshi Kawasaki, Shintaro Ono, Hiroshi Koyasu, Katsushi Ikeuchi

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Recently, the mounting of on-vehicle camera is increasing to general cars. Because of this, some users start to upload the on-vehicle videos to web. So that, a number of on-vehicle videos are available nowadays. In this paper, in order to localize car, we propose the efficient matching method for such on-vehicle videos using Temporal Height Image (THI), Affine SIFT and Bag of Feature. THI retains information of relative building height from temporal image sequence. Then we extract robust features from the THI by using Affine SIFT. We realize efficient matching by expressing their features using Bag of features. We conducted experiments to show the efficiency of the proposed method by real image sequences of the city.

Original languageEnglish
Pages (from-to)63-74
Number of pages12
JournalInternational Journal of Intelligent Transportation Systems Research
Volume13
Issue number2
DOIs
Publication statusPublished - May 1 2015
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Neuroscience(all)
  • Information Systems
  • Automotive Engineering
  • Aerospace Engineering
  • Computer Science Applications
  • Applied Mathematics

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