• DocumentCode
    1691003
  • Title

    Errors-in-variables modelling in optical flow problems

  • Author

    Ng, Lydia ; Solo, Victor

  • Author_Institution
    Dept. of Electron., Macquarie Univ., Sydney, NSW, Australia
  • Volume
    5
  • fYear
    1998
  • Firstpage
    2773
  • Abstract
    Although still in practice, the use of total least squares (TLS) in optical flow estimation is unreliable. The TLS implicitly assumes that the error terms affecting the partial derivatives of the image intensities are independent. The usual methods for estimating the partial derivatives ensures that the errors are strongly correlated. Due to this correlation, an alternative method is required to treat the resulting errors-in-variables (EN) problem. We propose a new method for estimating optical flow based on Sprent´s (1966, 1969) procedure. This method incorporates a general EIV model and provides a far simpler computational procedure than found in previous solutions
  • Keywords
    error statistics; image sequences; least squares approximations; maximum likelihood estimation; stochastic processes; Nagel´s maximum likelihood method; Sprent´s procedure; TLS; computational procedure; correlation; errors-in-variables modelling; gray scale image sequence; image intensities; optical flow estimation; optical flow problems; partial derivatives; stochastic model; total least squares; Brightness; Equations; Error analysis; Image motion analysis; Least squares approximation; Linear systems; Optical devices; Optical noise; Pixel; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-4428-6
  • Type

    conf

  • DOI
    10.1109/ICASSP.1998.678098
  • Filename
    678098