• DocumentCode
    3205029
  • Title

    Cyclic motion detection using spatiotemporal surfaces and curves

  • Author

    Allmen, Mark ; Dyer, Charles R.

  • Author_Institution
    Dept. of Comput. Sci., Wisconsin Univ., Madison, WI, USA
  • Volume
    i
  • fYear
    1990
  • fDate
    16-21 Jun 1990
  • Firstpage
    365
  • Abstract
    Cyclic motion is formally defined as repeating curvature values along a path of motion. A procedure is presented for cyclic motion detection using spatiotemporal (ST) surfaces and ST curves. The projected movement of an object generates ST surfaces. ST curves are detected on the ST surfaces, providing an accurate, compact, qualitative description of the ST surfaces. Curvature scale-space of the ST curves is then used to detect intervals of repeating curvature values. The successful detection of cyclic motion in two data sets is presented
  • Keywords
    pattern recognition; visual perception; curvature scale-space; cyclic motion detection; repeating curvature values; spatiotemporal curves; spatiotemporal surfaces; Bicycles; Computer vision; Humans; Legged locomotion; Motion analysis; Motion detection; Object recognition; Psychology; Rhythm; Spatiotemporal phenomena;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1990. Proceedings., 10th International Conference on
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    0-8186-2062-5
  • Type

    conf

  • DOI
    10.1109/ICPR.1990.118130
  • Filename
    118130