• DocumentCode
    1790290
  • Title

    An adaptive motion estimation algorithm for irregular motion of objects

  • Author

    Kajo, Ibrahim ; Malik, A.S. ; Kamel, N.

  • Author_Institution
    Dept. of Electr. & Electron., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2014
  • fDate
    22-25 June 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this paper, a novel motion estimation method is proposed in order to enhance the block based matching. The enhancement is achieved by eliminating the number of search points, which in turn will reduce the computation complexity of any block based matching method. Relying on the social force model, a predicted direction of the motion vectors can be estimated significantly.
  • Keywords
    computational complexity; motion estimation; adaptive motion estimation algorithm; block based matching method; computation complexity; irregular motion; motion estimation method; motion vectors; social force model; Computational modeling; Force; Motion estimation; PSNR; Prediction algorithms; Predictive models; Vectors; Diamond search; Motion estimation; predicted motion vector; search points; social force model; surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
  • Conference_Location
    JeJu Island
  • Type

    conf

  • DOI
    10.1109/ISCE.2014.6884365
  • Filename
    6884365
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1790290