Attention Control for Robot Vision
Abstract
Focus of attention mechanisms for robot vision are discussed. A new method for neglecting low level filter responses from already modelled structures is presented. The method is based on a filtering technique termed normalized convolution. In one experiment, the robot is continuously moving its arm in the scene while tracking other objects. It is shown how the arm can be made "invisible" so that only the moving object of interest is detected. This makes tracking of objects much simpler. In another experiment, the attention of the system is shifted between objects by simply cancelling the mask of the object to be attended to. With this strategy the low level processes do not need to know the difference between a new object entering the scene and a mask being cancelled, and thus a complex communication structure between high and low levels is avoided.
Cite
Text
Westin et al. "Attention Control for Robot Vision." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996. doi:10.1109/CVPR.1996.517153Markdown
[Westin et al. "Attention Control for Robot Vision." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996.](https://mlanthology.org/cvpr/1996/westin1996cvpr-attention/) doi:10.1109/CVPR.1996.517153BibTeX
@inproceedings{westin1996cvpr-attention,
title = {{Attention Control for Robot Vision}},
author = {Westin, Carl-Fredrik and Westelius, Carl-Johan and Knutsson, Hans and Granlund, Gösta H.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1996},
pages = {726-733},
doi = {10.1109/CVPR.1996.517153},
url = {https://mlanthology.org/cvpr/1996/westin1996cvpr-attention/}
}