Selective Attention in Dynamic Vision
Abstract
Selective attention can enable a vision system to perform effectively. The high-level vision component developed here uses Bayesian networks combined with a deictic representation to (1) create a dynamic structure to reflect the spatial organisation of the data and (2) measure task relatedness. Together these give attentional focus making the reasoning relevant to the task.
Cite
Text
Howarth and Buxton. "Selective Attention in Dynamic Vision." International Joint Conference on Artificial Intelligence, 1993.Markdown
[Howarth and Buxton. "Selective Attention in Dynamic Vision." International Joint Conference on Artificial Intelligence, 1993.](https://mlanthology.org/ijcai/1993/howarth1993ijcai-selective/)BibTeX
@inproceedings{howarth1993ijcai-selective,
title = {{Selective Attention in Dynamic Vision}},
author = {Howarth, Richard J. and Buxton, Hilary},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1993},
pages = {1579-1585},
url = {https://mlanthology.org/ijcai/1993/howarth1993ijcai-selective/}
}