Selective Attention in Dynamic Vision
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Robotics and Vision. Pages 1579-1584.
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.
Richard J. Howarth, and Hilary Buxton. 1993. Selective Attention in Dynamic Vision. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93. IJCAI, 1579–1584. https://ijcai.org/proceedings/1993/219
Howarth, R. J., & Buxton, H. (1993). Selective Attention in Dynamic Vision. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 (pp. 1579–1584). IJCAI. https://ijcai.org/proceedings/1993/219
@inproceedings{ijcai1993p219,
title = {Selective Attention in Dynamic Vision},
author = {Howarth, Richard J. and Buxton, Hilary},
booktitle = {Proceedings of the Thirteenth International Joint Conference on
Artificial Intelligence, {IJCAI-93}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ruzena Bajcsy},
pages = {1579--1584},
year = {1993},
note = {Robotics and Vision},
url = {https://ijcai.org/proceedings/1993/219},
}
TY - CPAPER TI - Selective Attention in Dynamic Vision AU - Howarth, Richard J. AU - Buxton, Hilary T2 - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 PB - International Joint Conferences on Artificial Intelligence PY - 1993 SP - 1579 EP - 1584 UR - https://ijcai.org/proceedings/1993/219 ER -Copied
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