• DocumentCode
    1347340
  • Title

    Combinative motion estimation algorithm and the corresponding architecture for complex motion phenomenon

  • Author

    Liu, Pei-Chuan ; Chang, Wen-Thong ; Shen, Wen-Zen

  • Author_Institution
    Inst. of Electron., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • Volume
    44
  • Issue
    1
  • fYear
    1998
  • fDate
    2/1/1998 12:00:00 AM
  • Firstpage
    108
  • Lastpage
    116
  • Abstract
    By combining the features of block matching algorithm and block recursive algorithm a new motion estimation method is proposed for the complex motion phenomenon. With the full searching procedure used in the block matching algorithm and the adaptive searching procedure used in the block recursive algorithm, the proposed combinative algorithm can estimate more complex motion parameters such as translation, zoom, rotation and image deformation resulting in a good performance. To reduce the computational complexity, the corresponding architecture of the combinative algorithm is also proposed. With this architecture the computation requirements can be largely reduced to make the proposed algorithm suitable for real time motion estimation
  • Keywords
    adaptive estimation; adaptive signal processing; computational complexity; image matching; motion estimation; recursive estimation; search problems; adaptive searching procedure; block matching algorithm; block recursive algorithm; combinative motion estimation algorithm; complex motion parameter estimation; complex motion phenomenon; computational complexity reduction; full searching procedure; image deformation; real time motion estimation; rotation; translation; zoom; Algorithm design and analysis; Computational complexity; Computer architecture; Deformable models; Hardware; Iterative algorithms; Iterative methods; Motion estimation; Recursive estimation; Shape;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/30.663736
  • Filename
    663736