@inproceedings{ec0f377d785a42838fa2c3922080b5d4,
title = "Cognitive vision: Integrating symbolic qualitative representations with computer vision",
abstract = "We describe the challenge of combining continuous computer vision techniques and qualitative, symbolic methods to achieve a system capable of cognitive vision. Key to a truly cognitive system, is the ability to learn: to be able to build and use models constructed autonomously from sensory input. In this paper we overview a number of steps we have taken along the route to the construction of such a system, and discuss some remaining challenges.",
author = "Cohn, {A. G.} and Hogg, {D. C.} and B. Bennett and V. Devin and A. Galata and Magee, {D. R.} and C. Needham and P. Santos",
year = "2006",
month = dec,
day = "1",
language = "English",
isbn = "9783540339717",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "221--246",
editor = "Henrik Christensen and Hans-Hellmut Nagel",
booktitle = "Cognitive Vision Systems",
}