• DocumentCode
    1536394
  • Title

    Motion estimation with more than two frames

  • Author

    Shariat, Hormoz ; Price, Keith E.

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    12
  • Issue
    5
  • fYear
    1990
  • fDate
    5/1/1990 12:00:00 AM
  • Firstpage
    417
  • Lastpage
    434
  • Abstract
    The development of a general motion estimation system based on using three or more frames is reported. The relevant portion of the sequence is treated as a whole, thus simplifying the process of estimating the motion parameters, and making possible the computation of the motion parameters in terms of the natural center of motion. A general description of this motion estimation method is presented, with the derivation of motion equations for three cases (three points in three frames, two points in four frames, and one point in five frames). Results are given for real and synthetic images for the case of one point in five (and six) frames. On the average, the program converged quickly to the right answer for noiseless data. For noisy data, the answers were reasonable and their accuracy was directly a function of the amount of noise in the disparity vector
  • Keywords
    computer vision; computerised picture processing; computer vision; disparity vector; motion estimation; noise; Artificial intelligence; Equations; Intelligent robots; Intelligent systems; Laboratories; Land vehicles; Layout; Motion analysis; Motion estimation; Parameter estimation;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.55102
  • Filename
    55102