ML Anthology

Object-Based Visual Attention: A Model for a Behaving Robot

Francesco Orabona, Giorgio Metta, Giulio Sandini
CVPRW 2005 pp. 89
doi:10.1109/CVPR.2005.502 /cvprw/2005/orabona2005cvprw-objectbased/

Abstract

One of the first steps of any visual system is that of locating suitable interest points, "salient regions", in the scene, to detect events, and eventually to direct gaze toward these locations. In the last few years, object-based visual attention models have received an increasing interest in the literature, the problem, in this case, being that of creating a model of "objecthood" that eventually guides a saliency mechanism. We propose here an object-based model of visual attention and show its instantiation on a humanoid robot. The robot employs action to learn and define its own concept of objecthood.

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Cite

Text

Orabona et al. "Object-Based Visual Attention: A Model for a Behaving Robot." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2005. doi:10.1109/CVPR.2005.502

Markdown

[Orabona et al. "Object-Based Visual Attention: A Model for a Behaving Robot." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2005.](https://mlanthology.org/cvprw/2005/orabona2005cvprw-objectbased/) doi:10.1109/CVPR.2005.502

BibTeX

@inproceedings{orabona2005cvprw-objectbased,
  title     = {{Object-Based Visual Attention: A Model for a Behaving Robot}},
  author    = {Orabona, Francesco and Metta, Giorgio and Sandini, Giulio},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2005},
  pages     = {89},
  doi       = {10.1109/CVPR.2005.502},
  url       = {https://mlanthology.org/cvprw/2005/orabona2005cvprw-objectbased/}
}