• DocumentCode
    1685162
  • Title

    Multiple parametric motion model estimation and segmentation

  • Author

    Montoliu, R. ; Pla, F.

  • Author_Institution
    Comput. Vision Group, Univ. Jaume I, Castellon, Spain
  • Volume
    2
  • fYear
    2001
  • Firstpage
    933
  • Abstract
    This paper presents a motion estimation and segmentation algorithm based on multiple parametric model estimation that determines the a priori unknown number of motion models present in the data. The algorithm applies a quasi-simultaneous parametric model fitting method based on a general least square fitting. Some experiments are showed in order to demonstrate the results obtained using the proposed algorithm
  • Keywords
    image segmentation; image sequences; least squares approximations; motion estimation; object detection; parameter estimation; general least square fitting; image sequences; motion estimation; motion segmentation; moving object detection; multiple parametric model estimation; Computer vision; Image motion analysis; Image segmentation; Motion detection; Motion estimation; Motion segmentation; Object detection; Parameter estimation; Parametric statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.958648
  • Filename
    958648