• DocumentCode
    178155
  • Title

    Body Part Tracking of Infants

  • Author

    Olsen, M.D. ; Herskindt, A. ; Nielsen, J.B. ; Paulsen, R.R.

  • Author_Institution
    Dept. of Appl. Math. & Comput. Sci., Tech. Univ. of Denmark, Lyngby, Denmark
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    2167
  • Lastpage
    2172
  • Abstract
    Motion tracking is a widely used technique to analyze and measure adult human movement. However, these methods cannot be transferred directly to motion tracking of infants due to the big differences in the underlying human model. However, motion tracking of infants can be used for automatic analysis of infant development and might be able to tell something about possible motor disabilities such as cerebral palsy. In this paper, we address marker less 3D body part detection of infants using a widely available depth sensor and discuss some of the major challenges that arise. We present a method to detect and identify a set of the anatomical extremities and the results are evaluated based on manually annotated 3D positions.
  • Keywords
    image sensors; motion estimation; motion measurement; object tracking; adult human movement analysis; adult human movement measurement; cerebral palsy; depth sensor; human model; infant body part tracking; manually annotated 3D positions; markerless 3D infant body part detection; motion tracking; motor disabilities; Extremities; Joints; Optical imaging; Optical sensors; Three-dimensional displays; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.377
  • Filename
    6977089