Detecting Motion in Out-of-Register Pictures

Shvaytser, Haim

doi:10.1109/CVPR.1988.196310

Detecting Motion in Out-of-Register Pictures

Haim Shvaytser

CVPR 1988 pp. 696-701

doi:10.1109/CVPR.1988.196310 /cvpr/1988/shvaytser1988cvpr-detecting/

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).< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Shvaytser. "Detecting Motion in Out-of-Register Pictures." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196310

Markdown

[Shvaytser. "Detecting Motion in Out-of-Register Pictures." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/shvaytser1988cvpr-detecting/) doi:10.1109/CVPR.1988.196310

BibTeX

@inproceedings{shvaytser1988cvpr-detecting,
  title     = {{Detecting Motion in Out-of-Register Pictures}},
  author    = {Shvaytser, Haim},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {696-701},
  doi       = {10.1109/CVPR.1988.196310},
  url       = {https://mlanthology.org/cvpr/1988/shvaytser1988cvpr-detecting/}
}