• DocumentCode
    2101827
  • Title

    Components analysis of hidden Markov models in computer vision

  • Author

    Caelli, Terry ; McCane, Brendan

  • Author_Institution
    Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
  • fYear
    2003
  • fDate
    17-19 Sept. 2003
  • Firstpage
    510
  • Lastpage
    515
  • Abstract
    Hidden Markov models (HMMs) have become a standard tool for pattern recognition in computer vision. Although parameter and topology estimation have been studied, and still are, detailed analysis of how these estimated parameters contribute to HMM performance is rarely addressed. We develop tools for measuring such contributions and illustrate key issues in a representative task of gesture recognition - 3D motion recovery from 2D projections.
  • Keywords
    computer vision; gesture recognition; hidden Markov models; image motion analysis; parameter estimation; pattern recognition; topology; 2D projections; 3D motion recovery; HMM; computer vision; gesture recognition; hidden Markov model component analysis; parameter estimation; pattern recognition; topology estimation; Computer vision; Hidden Markov models; Image analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Processing, 2003.Proceedings. 12th International Conference on
  • Print_ISBN
    0-7695-1948-2
  • Type

    conf

  • DOI
    10.1109/ICIAP.2003.1234101
  • Filename
    1234101
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2101827