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High-accuracy gait recognition by fluctuation analysis

Research Project

Project/Area Number 23680017
Research Category

Grant-in-Aid for Young Scientists (A)

Allocation TypeSingle-year Grants
Research Field Perception information processing/Intelligent robotics
Research InstitutionOsaka University

Principal Investigator

MAKIHARA Yasushi  大阪大学, 産業科学研究所, 准教授 (90403005)

Project Period (FY) 2011-04-01 – 2016-03-31
Project Status Completed (Fiscal Year 2015)
Budget Amount *help
¥16,510,000 (Direct Cost: ¥12,700,000、Indirect Cost: ¥3,810,000)
Fiscal Year 2014: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2013: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2012: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2011: ¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Keywords歩容認証 / ゆらぎ / 位相推定 / バイオメトリクス / コンピュータビジョン / パターン認識 / 画像、文章、音声など認識 / 生体認証 / 画像,文章,音声など認識 / 位相 / 周期信号
Outline of Final Research Achievements

Since gait fluctuation often degrades the accuracy of gait recognition, we tackled with P1) gait recognition robust against the gait fluctuation. We proposed a phase estimation method from a single quasi-periodic signal as a basic techniques for this purpose, and confirmed its effectiveness with simulation and real data. Moreover, we proposed a cylindrical manifold to represent speed-transition gait and confirmed that the cylindrical manifold reconstruction successfully improve the gait recognition accuracy.
In addition, we also tackled with P2) improved gait recognition in corporation with gait fluctuation features. More specifically, we introduced phase fluctuation features and gait fluctuation image and combined them with a conventional gait feature in a score-level fusion framework and confirmed the accuracy improvement.

Report

(5 results)
  • 2015 Final Research Report ( PDF )
  • 2014 Annual Research Report
  • 2013 Annual Research Report
  • 2012 Annual Research Report
  • 2011 Annual Research Report
  • Research Products

    (11 results)

All 2015 2014 2012 2011

All Journal Article (2 results) (of which Peer Reviewed: 2 results,  Acknowledgement Compliant: 2 results) Presentation (9 results) (of which Int'l Joint Research: 2 results,  Invited: 1 results)

  • [Journal Article] Gait Recognition by Fluctuations2014

    • Author(s)
      M.R. Aqmar, Y. Fujihara, Y. Makihara, and Y. Yagi
    • Journal Title

      Computer Vision and Image Understanding

      Volume: 126 Pages: 38-52

    • DOI

      10.1016/j.cviu.2014.05.004

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] Phase Estimation of a Single Quasi-periodic Signal2014

    • Author(s)
      Y. Makihara, M.R. Aqmar, T.T. Ngo, H. Nagahara, R. Sagawa, Y. Mukaigawa, and Y. Yagi,
    • Journal Title

      IEEE Trans. on Signal Processing

      Volume: 62 Issue: 8 Pages: 2066-2079

    • DOI

      10.1109/tsp.2014.2306174

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] Multi-view Discriminant Analysis with Tensor Representation and Its Application to Cross-view Gait Recognition2015

    • Author(s)
      Y. Makihara, A. Mansur, D. Muramatsu, M.Z. Uddin, and Y. Yagi
    • Organizer
      the 11th IEEE Conf. on Automatic Face and Gesture Recognition (FG 2015)
    • Place of Presentation
      Ljubljana, Slovenia
    • Year and Date
      2015-05-04
    • Related Report
      2014 Annual Research Report
    • Int'l Joint Research
  • [Presentation] On Suppressing and Utilizing Fluctuations for Gait Recognition2014

    • Author(s)
      M.R. Aqmar, Y. Makihara, Y. Fujihara, and Y. Yagi
    • Organizer
      the 9th Int. Workshop on Robust Computer Vision
    • Place of Presentation
      Tokyo, Japan
    • Year and Date
      2014-12-06
    • Related Report
      2014 Annual Research Report
  • [Presentation] Gait Recognition under Speed Transition2014

    • Author(s)
      A. Mansur, Y. Makihara, M.R. Aqmar, and Y. Yagi
    • Organizer
      the 27th IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2014)
    • Place of Presentation
      Columbus, Ohio, USA
    • Year and Date
      2014-06-24
    • Related Report
      2014 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Gait Recognition by Fluctuations2014

    • Author(s)
      Y. Makihara, M.R. Aqmar, Y. Fujihara, and Y. Yagi
    • Organizer
      The 17th Sanken Int. Symposium
    • Place of Presentation
      Suita, Japan
    • Year and Date
      2014-01-22
    • Related Report
      2013 Annual Research Report
    • Invited
  • [Presentation] Gait Recognition by Fluctuations2014

    • Author(s)
      Y. Makihara, M.R. Aqmar, Y. Fujihara, Y. Yagi
    • Organizer
      The 8th Int. Workshop on Robust Computer Vision (IWRCV 2014)
    • Place of Presentation
      Daejeon, Korea
    • Year and Date
      2014-01-11 – 2014-01-12
    • Related Report
      2013 Annual Research Report
  • [Presentation] 位相正規化画像列とゆらぎ特徴量を用いた歩容認証2012

    • Author(s)
      藤原 雄介, 槇原靖, 八木康史
    • Organizer
      情報処理学会 CVIM研究会
    • Place of Presentation
      中京大学
    • Related Report
      2012 Annual Research Report
  • [Presentation] Can Gait Fluctuations Improve Gait Recognition?2012

    • Author(s)
      Y. Makihara, Y. Fujihara, and Y. Yagi
    • Organizer
      The 21st Int. Conf. on Pattern Recognition
    • Place of Presentation
      つくば国際会議場
    • Related Report
      2012 Annual Research Report
  • [Presentation] ゆらぎを考慮した歩容解析2012

    • Author(s)
      八木 康史,槇原 靖,ラシッド アクマル,藤原 雄介
    • Organizer
      第16回日本統合医療学会
    • Place of Presentation
      大阪大学
    • Related Report
      2012 Annual Research Report
  • [Presentation] Phase Registration in a Gallery Improving Gait Authentication2011

    • Author(s)
      N.T. Trung, et al.
    • Organizer
      The Int. Joint Conf. on Biometrics
    • Place of Presentation
      Washington D. C., USA
    • Year and Date
      2011-10-13
    • Related Report
      2011 Annual Research Report

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Published: 2011-04-06   Modified: 2019-07-29  

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