• DocumentCode
    384386
  • Title

    MLESAC tracking with 2D revolute-prismatic articulated models

  • Author

    McAllister, G. ; McKenna, S.J. ; Ricketts, I.W.

  • Author_Institution
    Dept. of Appl. Comput., Dundee Univ., UK
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    725
  • Abstract
    A model for tracking articulated objects is proposed using a 2D revolute-prismatic joint. An extension of the RANSAC and MLESAC algorithms incorporating feature weights is used to perform robust tracking. The models are suitable for tracking certain human body structures. Limbs are modelled as constrained planar patches. A patch can rotate about a joint point that is displaced relative to the previous patch. A scenario in which the forearm is tracked is used to illustrate the method.
  • Keywords
    computer vision; graph theory; image motion analysis; probability; tracking; 2D revolute-prismatic articulated models; 2D revolute-prismatic joint; MLESAC algorithm; RANSAC algorithm; articulated objects tracking; constrained planar patches; feature weights; forearm tracking; robust tracking; Biological system modeling; Fingers; Humans; Image motion analysis; Joints; Layout; Noise robustness; Terminology; Tracking; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1048405
  • Filename
    1048405
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=384386