• DocumentCode
    3413234
  • Title

    A nonlinear correlation algorithm for estimating the motion of multiple objects in an image sequence

  • Author

    Burl, Jeff B.

  • Author_Institution
    Dept. of Electr. Eng., Michigan Technol. Univ., Houghton, MI, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    Oct. 30 1995-Nov. 1 1995
  • Firstpage
    1413
  • Abstract
    A nonlinear correlation algorithm is presented for estimating the motion of objects from a pair of images. The algorithm presented requires no a priori information on the number, size, or shape of the moving objects, and does not require feature extraction or segmentation of either image. The algorithm directly yields information on the number of moving objects, the motion of the objects, and the size of the objects. Additional processing to yield the centroid of the objects (in either frame) is also presented.
  • Keywords
    image sequences; image sequence; motion estimation; moving objects; multiple objects; nonlinear correlation algorithm; object centroid estimation; object size estimation; Equations; Feature extraction; Image motion analysis; Image segmentation; Image sequences; Motion estimation; Nonlinear optics; Pixel; Shape; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-7370-2
  • Type

    conf

  • DOI
    10.1109/ACSSC.1995.540931
  • Filename
    540931