International Journal of Computer Vision
Soft-decision vector quantization based on the Dempster/Shafer theory
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Computer Vision and Image Understanding - Special issue on event detection in video
Using self-organising maps in the detection and recognition of road signs
Image and Vision Computing
A fast method to detect and recognize scaled and skewed road signs
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
| Hi-index | 0.98 |
In this paper, we present a novel approach for the detection and recognition of traffic signs. Colour images are acquired by a camera mounted in a car. In the first step, these images are colour segmented with a pixel classifier. Colour combinations which are characteristic for traffic signs generate hypotheses. These hypotheses are verified using a pictogram classifier. Our system has been successfully tested on thousands of traffic scenes. The processing of a 512 by 512 frame takes approximately 1 second on a Sparc-10. This project is part of the European research programme PROMETHEUS and is being developed by Daimler-Benz in collaboration with various university labs.