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A Region-Level Graph Labeling Approach to Motion-Based Segmentation

Marc Gelgon, Patrick Bouthemy
CVPR 1997 pp. 514-519
doi:10.1109/CVPR.1997.609374 /cvpr/1997/gelgon1997cvpr-region/

Abstract

This paper deals with the problem of motion-based segmentation of image sequences. Such partitions are multiple-purpose in dynamic scene analysis. We first extract a spatial texture-based partition using an unsupervised MRF approach. The regions obtained are then grouped according to a motion-based criterion. This grouping process relies on two motion estimation techniques and exploits centextual information between regions. In contrast with clustering techniques, region grouping is formalized as a motion-based graph labeling process, within a Markovian framework. Results on real-world image sequences are shown and validate the proposed method.

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Cite

Text

Gelgon and Bouthemy. "A Region-Level Graph Labeling Approach to Motion-Based Segmentation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609374

Markdown

[Gelgon and Bouthemy. "A Region-Level Graph Labeling Approach to Motion-Based Segmentation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/gelgon1997cvpr-region/) doi:10.1109/CVPR.1997.609374

BibTeX

@inproceedings{gelgon1997cvpr-region,
  title     = {{A Region-Level Graph Labeling Approach to Motion-Based Segmentation}},
  author    = {Gelgon, Marc and Bouthemy, Patrick},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {514-519},
  doi       = {10.1109/CVPR.1997.609374},
  url       = {https://mlanthology.org/cvpr/1997/gelgon1997cvpr-region/}
}