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

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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.

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Authors and Affiliations

  1. Kagoshima University, 1-21-40 Korimoto, Kagoshima City, Japan

    Kazuma Fukumoto & Hiroshi Kawasaki

  2. Tokyo University, 4-6-1 Komaba, Meguro-ku, Tokyo, Japan

    Shintaro Ono & Katsushi Ikeuchi

  3. Saitama University, 255 Shimo-Ohkubo, Sakura-ku, Saitama City, Japan

    Hiroshi Koyasu

Authors
  1. Kazuma Fukumoto
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  2. Hiroshi Kawasaki
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  3. Shintaro Ono
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  4. Hiroshi Koyasu
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  5. Katsushi Ikeuchi
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Correspondence to Kazuma Fukumoto.

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Fukumoto, K., Kawasaki, H., Ono, S. et al. On-Vehicle Video Localization Technique based on Video Search using Real Data on the Web. Int. J. ITS Res. 13, 63–74 (2015). https://doi.org/10.1007/s13177-014-0086-z

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  • DOI: https://doi.org/10.1007/s13177-014-0086-z

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