Road sign recognition by one fixation of space-variant sensor.
Gao, Xiaohong W. and Shaposhnikov, D. G. and Podladchikova, L. N. and Golovan, Alexander and Shevtsova, Natalia and Hong, K. (2002) Road sign recognition by one fixation of space-variant sensor. In: Vision Interface ’2002: proceedings. Gorodnich, D. D. and Zhang, H., eds. Canadian Image Processing and Pattern Recognition Society, Quebec.
Full text is not in this repository.
Biologically plausible model approach to solve the task of traffic sign detection and recognition invariantly to variable viewing conditions and results of model testing with British real world traffic signs are presented. The developed model for sign description and recognition by one fixation of a space-variant sensor simulates some mechanisms of the real visual system such as space-variant representation of information from the centre (the fovea) to the periphery of the retina, neuronal orientation selectivity, and context encoding of information. After consequent procedures of colour segmentation of initial real world images, classification according to sign colours and external forms, and determination of the centre of the inner informative sign part, 85% of potential traffic sign images were correctly identified for various weather conditions by one fixation of the developed space-variant sensor.
|Item Type:||Book Section|
|Additional Information:||Conference held on May 27-29, 2002, in Calgary, Canada.|
|Research Areas:||A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
|Depositing User:||Repository team|
|Date Deposited:||02 Apr 2009 08:42|
|Last Modified:||15 Feb 2016 15:06|
Actions (login required)