• DocumentCode
    2035168
  • Title

    A new method for camera motion parameter estimation

  • Author

    Tan, Yap-Peng ; Kulkarni, Sanjeev R. ; Ramadge, Peter J.

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., NJ, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    406
  • Abstract
    We derive a six parameter system to estimate and compensate the effects of camera motion-zoom, pan, tilt and swing. As compared to other existing methods, this model describes more precisely the effect of different kinds of camera motions. A recursive least-squares estimator has been used to solve for the motion parameters. Experiments suggest that our algorithm converges to satisfactory results when about 10 pairs of corresponding pairs between two image frames are available
  • Keywords
    cameras; convergence of numerical methods; least squares approximations; motion compensation; motion estimation; recursive estimation; algorithm; camera motion compensation; camera motion parameter estimation; convergence; experiments; image frames; pan; recursive least squares estimator; six parameter system; swing; tilt; zoom; Cameras; Computer vision; Image coding; Image converters; Marine vehicles; Motion analysis; Motion estimation; Noise robustness; Parameter estimation; Recursive estimation;
  • 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.1995.529732
  • Filename
    529732