Application of vision models to traffic sign recognition.

Gao, Xiaohong W. and Shaposhnikov, D. G. and Podladchikova, L. N. (2004) Application of vision models to traffic sign recognition. In: Lecture Notes in Computer Science. Springer Berlin, Heidelberg, pp. 1100-1105. ISBN 978-3-540-40408-8

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Abstract

This paper extends earlier work on a vision behaviour model, FOSTS, which had been developed to perform the task of recognition of traffic signs. This work pioneered the application of a colour appearance model, CIECAM, developed theoretically for segmentation, which shows great advantages over other existing approaches. Much of the work was undertaken via a Royal Society funded scientific exchange programme, and has led to further collaborations internationally on a networking project on Tele-imaging in Medicine (TIME) funded by EU (CN/ASIA-IT&C/009(91450)).

Item Type: Book Section
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
Item ID: 55
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Depositing User: Repository team
Date Deposited: 15 Oct 2008 13:37
Last Modified: 13 Oct 2016 14:11
URI: http://eprints.mdx.ac.uk/id/eprint/55

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