• DocumentCode
    2113078
  • Title

    Investigating a new visual cue for image motion estimation

  • Author

    Chen, Wei-ge ; Nandhakumar, N. ; Martin, Worthy N.

  • Author_Institution
    Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    761
  • Abstract
    Motion smear is an important visual cue for the human vision system (HVS) to perceive motion. However, in image analysis research, using motion smear as a valuable visual cue for motion estimation has remained largely ignored. Rather, motion smear is usually considered as a degradation on images that need to be removed. A computational model has been established to estimate image motion from motion smear information. Both theoretical derivation and experimental results are provided
  • Keywords
    image sequences; motion estimation; degradation; human vision system; image analysis research; image motion; image motion estimation; motion smear; visual cue; Algorithm design and analysis; Computational modeling; Computer science; Degradation; Image motion analysis; Image sensors; Linear systems; Machine vision; Motion estimation; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413786
  • Filename
    413786
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2113078