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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Official URL: http://www.springerlink.com/content/19layaw7kujf55...

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:School of Science and Technology > Computer Science
School of Science and Technology > Computer Science > Artificial Intelligence group
ID Code:55
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Deposited On:15 Oct 2008 13:37
Last Modified:24 Oct 2014 15:18

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