• DocumentCode
    2605287
  • Title

    Temporal slice analysis of image sequences

  • Author

    Peng, Shou-Ling

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    1991
  • fDate
    3-6 Jun 1991
  • Firstpage
    283
  • Lastpage
    288
  • Abstract
    An early-processing algorithm to extract motion information from closely sampled image sequences is presented. This method outputs dense displacement field, based on the extraction of strips in slices taken from the image volume along the temporal dimension. The extracted strips provide estimates of the velocity component along the slice orientation. Because of the high sampling rate, the motion is assumed to be piecewisely translational. A voting scheme to estimate the position of FOE while extracting strips is proposed. The true velocity can then be calculated. Results on several real image sequences and a promising speedup from the parallel implementation on the Connection Machine are presented
  • Keywords
    computer vision; computerised picture processing; Connection Machine; dense displacement field; early-processing algorithm; image sequences; motion information; parallel implementation; piecewisely translational; real image sequences; sampling rate; slice orientation; temporal dimension; temporal slice analysis; velocity component; voting scheme; Cameras; Data mining; Image analysis; Image motion analysis; Image sampling; Image sequence analysis; Image sequences; Intelligent robots; Intelligent systems; Strips;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2148-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1991.139703
  • Filename
    139703