• DocumentCode
    3208234
  • Title

    Image sequence enhancement using multiple motions analysis

  • Author

    Irani, Michal ; Peleg, Shinuel

  • Author_Institution
    Inst. of Comput. Sci., Hebrew Univ. of Jerusalem, Israel
  • fYear
    1992
  • fDate
    15-18 Jun 1992
  • Firstpage
    216
  • Lastpage
    221
  • Abstract
    A method for detecting and tracking multiple moving objects, using both a large spatial region and a large temporal region, without assuming temporal motion constancy is described. When the large spatial region of analysis has multiple moving objects, the motion parameters and the locations of the objects are computed for one object after another. A method for segmenting the image plane into differently moving objects and computing their motions using two frames is presented. The tracking of detected objects using temporal integration and the algorithms for enhancement of tracked objects by filling-in occluded regions and by improving the spatial resolution of the imaged objects are described
  • Keywords
    image sequences; motion estimation; tracking; image sequence enhancement; large spatial region; large temporal region; motion estimation; motion parameters; multiple motions analysis; multiple moving objects; occluded regions; spatial resolution; temporal integration; Image motion analysis; Image reconstruction; Image resolution; Image segmentation; Image sequences; Layout; Motion analysis; Motion detection; Object detection; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
  • Conference_Location
    Champaign, IL
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2855-3
  • Type

    conf

  • DOI
    10.1109/CVPR.1992.223272
  • Filename
    223272