• DocumentCode
    1738269
  • Title

    Estimation of optical flow via voting process with weight function

  • Author

    Imamura, Hiroki ; Kenmochi, Yukiko ; Kotani, Koji

  • Author_Institution
    Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1478
  • Abstract
    For estimation of optical flow, voting has been used in the process of detection of an intersection of constraint line in voting space. The intersections are often scattered because of the quantization of voting space, image noise, etc. The authors first analyze the intersection distribution, then they show a filtering of voting to converge the scattering by convolution with a weight function. Some experimental results of the method are also given
  • Keywords
    convolution; filtering theory; image sequences; quantisation (signal); constraint line detection; image noise; intersection distribution; optical flow estimation; quantization; voting process; voting space; weight function; Convolution; Filtering; Image motion analysis; Motion analysis; Optical filters; Optical noise; Optical scattering; Quantization; Space technology; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2000 IEEE International Conference on
  • Conference_Location
    Nashville, TN
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-6583-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2000.886063
  • Filename
    886063