• DocumentCode
    759268
  • Title

    Adaptive model for image motion estimation

  • Author

    Lee, K. ; Wohn, K.

  • Author_Institution
    Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
  • Volume
    31
  • Issue
    6
  • fYear
    1995
  • fDate
    3/16/1995 12:00:00 AM
  • Firstpage
    426
  • Lastpage
    428
  • Abstract
    An adaptive modelling technique for estimating an optimal image motion field based on hypothesis testing is proposed. The effect of ill-conditioning is reduced by principal component regression (PCR), followed by the partial F-test to overcome the instability caused by insufficient variation of the image gradient. Experimental results confirm that the proposed method achieves better accuracy compared to the existing nonadaptive image motion model
  • Keywords
    adaptive signal processing; motion estimation; adaptive modelling; hypothesis testing; image gradient; image motion estimation; partial F-test; principal component regression;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19950333
  • Filename
    375910
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=759268