• DocumentCode
    300579
  • Title

    Toward a robust parametric identification of motion on regions of arbitrary shape by nonlinear optimization

  • Author

    Sanson, Henri

  • Author_Institution
    Centre Commun d´´Etudes de Telediffusion et Telecommun., Cesson-Sevigne Cedex, France
  • Volume
    1
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    203
  • Abstract
    This paper highlights some problems related to the identification of parametric motion models in image sequences by the so-called differential methods. This often entails the bad behavior of the algorithms used, leading to poor results. Appropriate solutions are proposed. The differential algorithms are particularly effective for complex motion estimation, even of large magnitude
  • Keywords
    image segmentation; image sequences; motion estimation; optimisation; parameter estimation; algorithms; differential algorithms; differential methods; image region; image sequences; image shape; motion estimation; nonlinear optimization; parametric motion models; robust parametric identification; Finite element methods; Least squares methods; Motion estimation; Newton method; Parametric statistics; Polynomials; Recursive estimation; Robustness; Shape; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.529581
  • Filename
    529581