ML Anthology

A Model of Figure-Ground Segregation from Kinetic Occlusion

George T. Chou
ICCV 1995 pp. 1050-1057
doi:10.1109/ICCV.1995.466818 /iccv/1995/chou1995iccv-model/

Abstract

The paper presents a model of image segmentation that can distinguish foreground from background purely on the basis of motion information. The main processing steps involved are: detection of motion boundaries, and analysis of figure ground relationship. The proposed model utilizes the observation that in kinetic occlusion, motion boundaries typically display mixture motion information, and foreground surfaces tend to move with motion boundaries. Through distributed probabilistic modeling, these constraints can be embedded into computations with efficient network representations. The resulting networks use spatiotemporal Gabor filters as front ends, and are suitable for parallel distributed processing. We demonstrate the application of the model in the decomposition of moving images into surfaces according to depth.< <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

Chou. "A Model of Figure-Ground Segregation from Kinetic Occlusion." IEEE/CVF International Conference on Computer Vision, 1995. doi:10.1109/ICCV.1995.466818

Markdown

[Chou. "A Model of Figure-Ground Segregation from Kinetic Occlusion." IEEE/CVF International Conference on Computer Vision, 1995.](https://mlanthology.org/iccv/1995/chou1995iccv-model/) doi:10.1109/ICCV.1995.466818

BibTeX

@inproceedings{chou1995iccv-model,
  title     = {{A Model of Figure-Ground Segregation from Kinetic Occlusion}},
  author    = {Chou, George T.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1995},
  pages     = {1050-1057},
  doi       = {10.1109/ICCV.1995.466818},
  url       = {https://mlanthology.org/iccv/1995/chou1995iccv-model/}
}