ML Anthology

Background Recognition in Dynamic Scenes with Motion Constraints

Kemal Egemen Ozden, Luc Van Gool
CVPR 2005 pp. 250-255
doi:10.1109/CVPR.2005.83 /cvpr/2005/ozden2005cvpr-background/

Abstract

Consider a monocular image sequence which contains independently moving objects and assume it is already segmented. In order to get a realistic 3D reconstruction of such a scene, we have to solve the relative scale ambiguity between the reconstructions of different moving objects. Recently, we demonstrated the usefulness of the so-called 'non-accidentalness and independence constraints' to disambiguate the mentioned unknown relative scale. However, this technique requires that the video segment which corresponds to the background is known beforehand. In this paper, we analyze the background detection problem in the vein of the aforementioned constraints and show that the background is not just another moving object but the one which results in the simplest overall scene interpretation.

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Cite

Text

Ozden and Van Gool. "Background Recognition in Dynamic Scenes with Motion Constraints." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.83

Markdown

[Ozden and Van Gool. "Background Recognition in Dynamic Scenes with Motion Constraints." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/ozden2005cvpr-background/) doi:10.1109/CVPR.2005.83

BibTeX

@inproceedings{ozden2005cvpr-background,
  title     = {{Background Recognition in Dynamic Scenes with Motion Constraints}},
  author    = {Ozden, Kemal Egemen and Van Gool, Luc},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {250-255},
  doi       = {10.1109/CVPR.2005.83},
  url       = {https://mlanthology.org/cvpr/2005/ozden2005cvpr-background/}
}