• DocumentCode
    2997255
  • Title

    Reconstruction of 3D Trajectories for Performance Analysis in Table Tennis

  • Author

    Tamaki, Satoru ; Saito, Hiroshi

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Keio Univ., Yokohama, Japan
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    1019
  • Lastpage
    1026
  • Abstract
    A method of reconstructing the 3D trajectories of a table tennis ball is introduced, which was developed to solve the problem with conventional analysis in table tennis. There are several methods of reconstructing 2D ball trajectories or 3D trajectories of balls heavier than those in table tennis. However, these methods cannot be adopted to reconstruct the 3D trajectories of table tennis balls, because there are problems that are attributed to the dimensions of the trajectories and weight of the balls. The method proposed in this paper could reconstruct the 3D trajectories of a table tennis ball. The key feature of the method is that it approximates that a ball is traveling on tilted planes. This approximation makes reconstruction robust against failure to measure 3D ball positions. A system using two RGB cameras was developed based on the new method. The system experimentally demonstrated that it could provide accurate information for match analysis. A system using an RGB-D camera was then developed to optimize usability for practitioners. We experimentally demonstrated that the system could provide accurate information for service analysis.
  • Keywords
    image colour analysis; image matching; image motion analysis; image reconstruction; sport; 3D ball positions; 3D ball trajectories reconstruction; RGB-D camera; match analysis; performance analysis; service analysis; table tennis ball; tilted planes; Approximation methods; Cameras; Image reconstruction; Performance analysis; Sports equipment; Three-dimensional displays; Trajectory; RGB-D camera; multiple cameras; performance analysis; table tennis; trajectory reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/CVPRW.2013.148
  • Filename
    6595994