• DocumentCode
    1093693
  • Title

    Motion estimation with object based regularisation

  • Author

    Panis, S. ; Cosmas, J.P.

  • Author_Institution
    Dept. of Electron. Eng., Queen Mary & Westfield Coll., London, UK
  • Volume
    32
  • Issue
    10
  • fYear
    1996
  • fDate
    5/9/1996 12:00:00 AM
  • Firstpage
    872
  • Lastpage
    873
  • Abstract
    A dynamic programming based matching method for motion estimation. That optimises a Bayesian maximum likelihood function in a 3-D optimisation space, is presented. The Bayesian function consists of a matching cost and an object based 2-D regularisation cost. The method gives results more accurate than block-based matching since the motion boundaries are close to the actual object boundaries
  • Keywords
    Bayes methods; dynamic programming; image matching; maximum likelihood estimation; motion estimation; object-oriented methods; 3D optimisation space; Bayesian maximum likelihood function; dynamic programming; matching cost; matching method; motion estimation; object based 2D regularisation cost; object based regularisation;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19960598
  • Filename
    509930
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1093693