Traffic Light and Speed Sign Recognition by using Hierarchical Application of Color Segmentation and Object Feature Information


The KIPS Transactions:PartB , Vol. 17, No. 3, pp. 207-214, Jun. 2010
10.3745/KIPSTB.2010.17.3.207,   PDF Download:

Abstract

A method of the region extraction and recognition of a traffic light and speed sign board in the real road environment is proposed. Traffic light was recognized by using brightness and color information based on HSI color model. Speed sign board was extracted by measuring red intensity from the HSI color information We improve the recognition rate by performing an incline compensation of the speed sign for directions clockwise and counterclockwise. The proposed algorithm shows a robust recognition rate in the image sequence which includes traffic light and speed sign board.


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Cite this article
[IEEE Style]
K. H. Lee, M. Y. Bang, K. W. Lee, "Traffic Light and Speed Sign Recognition by using Hierarchical Application of Color Segmentation and Object Feature Information," The KIPS Transactions:PartB , vol. 17, no. 3, pp. 207-214, 2010. DOI: 10.3745/KIPSTB.2010.17.3.207.

[ACM Style]
Kang Ho Lee, Min Young Bang, and Kyu Won Lee. 2010. Traffic Light and Speed Sign Recognition by using Hierarchical Application of Color Segmentation and Object Feature Information. The KIPS Transactions:PartB , 17, 3, (2010), 207-214. DOI: 10.3745/KIPSTB.2010.17.3.207.