• DocumentCode
    2479121
  • Title

    Motion capture data retrieval using an artist’s doll

  • Author

    Feng, Tien-Chieng ; Gunawardane, Prabath ; Davis, James ; Jiang, Bolan

  • Author_Institution
    Univ. of California, Santa Cruz, CA
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we present a keyframe-based human motion capture data retrieval system which uses a wooden doll as the input device. A user inputs a keyframe by posing an artistpsilas doll with painted joints in front of a stereo camera rig. The system interactively gives real-time feedback on the results of the joint detection and 3D pose reconstruction as the user is positioning and rotating the doll. The robust 3D joint reconstruction is achieved by integrating 3D joint positions from multiple views of the same pose. After the user has finished inputting all the keyframes, the motion sequences are retrieved from the database and ranked based on their similarities to the keyframes. Experiments show that the presented system is simple to use and has high quality of retrieval results.
  • Keywords
    feedback; image motion analysis; image reconstruction; image retrieval; image sensors; image sequences; stereo image processing; 3D joint positions; 3D pose reconstruction; artist doll; keyframe-based human motion capture data retrieval; motion sequences; real-time feedback; stereo camera rig; wooden doll; Animation; Cameras; Databases; Feedback; Humans; Information retrieval; Instruments; Libraries; Real time systems; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761301
  • Filename
    4761301