• DocumentCode
    2993526
  • Title

    Detecting motion in out-of-register pictures

  • Author

    Shvaytser, Haim

  • Author_Institution
    Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
  • fYear
    1988
  • fDate
    5-9 Jun 1988
  • Firstpage
    696
  • Lastpage
    701
  • Abstract
    A novel technique is described that can be applied to a sequence of pictures to detect moving objects and segment them from the stationary background. It does not require the pictures to be in-register, and is suitable for cases where the camera moves while the pictures are taken. Its greatest advantage is the simplicity and efficiency in which it can be implemented. By the use of fast Fourier transforms, the detection of moving objects in a pair of pictures takes about the same computation time as a simple convolution between two pictures of the same size (three Fourier transforms)
  • Keywords
    fast Fourier transforms; pattern recognition; picture processing; convolution; fast Fourier transforms; motion detection; moving object detection; out-of-register pictures; picture processing; picture sequences; Cameras; Computer science; Fourier transforms; Frequency domain analysis; Layout; Motion detection; Object detection; Registers; TV; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-0862-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1988.196310
  • Filename
    196310