• DocumentCode
    1767496
  • Title

    Gait biometrics with a Microsoft Kinect sensor

  • Author

    Putz-Leszczynska, Joanna ; Granacki, Miroslaw

  • Author_Institution
    Biometric & Machine Learning Group, Warsaw Univ. of Technol., Warsaw, Poland
  • fYear
    2014
  • fDate
    13-16 Oct. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The article presents an analysis of gait biometrics system, that is based on a RGB-D images. The data used for the analysis is captured with a Microsoft Kinect sensor and it is transformed by the Skeletal Tracking SDK. The developed gait recognition system is based on a body geometry and on a body behavioral recorded during the person walking. Experiments were conducted on a database that contains data for 47 individuals and showed that the use of RGB-D images allows for an acceptable results.
  • Keywords
    gait analysis; geometry; image colour analysis; image motion analysis; image sensors; object tracking; Microsoft Kinect sensor; RGB-D images; body behavior recording; body geometry; gait biometrics; gait recognition system; person walking; skeletal tracking SDK; Databases; Dynamics; Gait recognition; Geometry; Heuristic algorithms; Iris recognition; Dynamic Time Warping; RGB-D; biometrics; gait recognition; kinect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology (ICCST), 2014 International Carnahan Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-3530-7
  • Type

    conf

  • DOI
    10.1109/CCST.2014.6986994
  • Filename
    6986994