• DocumentCode
    501279
  • Title

    Optical Flow Estimation Based on Predictive Vectors

  • Author

    Jing, Xu ; Huamin, Yang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Changchun Univ. of Sci. & Technol., Changchun, China
  • Volume
    2
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    696
  • Lastpage
    699
  • Abstract
    In this paper, we analyze the problem of block matching method for computing optical flow and propose a new computing method, which records matching rate distribution for each block in the global searching area during the first time block matching procedure, and compute the predictive vectors, and then combining both of data information, compensate for the incorrect motion vectors, finally, compute correctly the global optical flow. Experimental results indicate that the approach is valid and robust.
  • Keywords
    image matching; image sequences; block matching method; data information; incorrect motion vectors; matching rate distribution; motion vector field; optical flow estimation; optical flow field; predictive vectors; Application software; Brightness; Data flow computing; Distributed computing; Image motion analysis; Layout; Motion estimation; Optical computing; Optical noise; Robustness; block matching; computer vision; optical flow; robust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2009. IFITA '09. International Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3600-2
  • Type

    conf

  • DOI
    10.1109/IFITA.2009.547
  • Filename
    5231452