ML Anthology

Image Sequence Enhancement Using Multiple Motions Analysis

Michal Irani, Shmuel Peleg
CVPR 1992 pp. 216-221
doi:10.1109/CVPR.1992.223272 /cvpr/1992/irani1992cvpr-image/

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

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Cite

Text

Irani and Peleg. "Image Sequence Enhancement Using Multiple Motions Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223272

Markdown

[Irani and Peleg. "Image Sequence Enhancement Using Multiple Motions Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/irani1992cvpr-image/) doi:10.1109/CVPR.1992.223272

BibTeX

@inproceedings{irani1992cvpr-image,
  title     = {{Image Sequence Enhancement Using Multiple Motions Analysis}},
  author    = {Irani, Michal and Peleg, Shmuel},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {216-221},
  doi       = {10.1109/CVPR.1992.223272},
  url       = {https://mlanthology.org/cvpr/1992/irani1992cvpr-image/}
}