• DocumentCode
    394490
  • Title

    Linear and regularized solutions for multiple motions

  • Author

    Stuke, Lngo ; Aach, Til ; Mota, Cicero ; Barth, Erhardt

  • Author_Institution
    Inst. for Signal Process., Univ. of Lubeck, Germany
  • Volume
    3
  • fYear
    2003
  • fDate
    6-10 April 2003
  • Abstract
    We extend a novel framework for the estimation of multiple transparent motions to include regularization. We use mixed-motion parameters to obtain linear Euler-Lagrange equations with a regularization term. The equations are solved iteratively for the mixed-motion parameters based on an update rule that is similar to the case of only one motion. The motion parameters are then obtained as the roots of a complex polynomial of a degree that is equal to the number of overlaid motions. An experimental error analysis is performed and reported.
  • Keywords
    error analysis; iterative methods; motion estimation; polynomials; Euler-Lagrange equations; complex polynomial roots; computer-vision; experimental error analysis; iterative solution; mixed-motion parameters; motion estimation; multiple motions; Calculus; Computer aided software engineering; Filters; Frequency estimation; Image sequences; Laplace equations; Motion analysis; Motion estimation; Polynomials; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7663-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2003.1199131
  • Filename
    1199131