• DocumentCode
    2320832
  • Title

    A new descriptor for 3D trajectory recognition via modified CDTW

  • Author

    Yang, Jianyu ; Li, Y.F. ; Wang, Keyi

  • Author_Institution
    Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong, China
  • fYear
    2010
  • fDate
    16-20 Aug. 2010
  • Firstpage
    37
  • Lastpage
    42
  • Abstract
    Motion recognition via trajectory is important in motion analysis for many robotic tasks. A descriptor for motion trajectories plays an important role in the recognition algorithm. Existing invariant descriptors and discrete matching algorithms are not flexible enough under certain circumstances for recognition. In this paper we propose a new descriptor to solve this problem, with a modified data alignment method in the matching algorithm for motion recognition. Experimental results demonstrate the effectiveness of the method in the motion recognition.
  • Keywords
    image matching; image motion analysis; robots; solid modelling; time warp simulation; 3D trajectory recognition; continuous dynamic time warping; discrete matching algorithms; invariant descriptors; modified CDTW; modified data alignment method; motion analysis; motion recognition; robotic tasks; Algorithm design and analysis; Classification algorithms; Interpolation; Noise; Shape; Three dimensional displays; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics (ICAL), 2010 IEEE International Conference on
  • Conference_Location
    Hong Kong and Macau
  • Print_ISBN
    978-1-4244-8375-4
  • Electronic_ISBN
    978-1-4244-8374-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2010.5585379
  • Filename
    5585379