Abstract
A system for traffic sign recognition has been developed. Both colour and shape information from signs are utilised for extraction of features. Colour appearance model CIECAM97 has been applied to extract colour information and to segment and classify traffic signs. Whilst shape features are extracted using FOSTS model, the extension of Behaviour Model of Visions (BMV). Recognition rate is very high. For British traffic signs (n=98) obtained under various viewing conditions, the recognition rate is up to 0.95. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Gao, X. W., Podladchikova, L., & Shaposhnikov, D. (2003). Application of vision models to traffic sign recognition. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2714, 1100–1105. https://doi.org/10.1007/3-540-44989-2_131
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
