A Real-Time Speed Limit Sign Detection and Recognition System.

Author(s)
Zhang, C. Cai, L. Wang, Q. & Chen, M.
Year
Abstract

This paper presents a real-time speed limit sign detection and recognition system. In detection framework, only shape information was used. Firstly, the canny edge algorithm based on surround suppression was utilized, Secondly, a new contour extraction method based on topologic structure was proposed to get clearer contour, Finally, Adaboost algorithm was applied to get rid of negative candidates regions. In recognition framework, Fisher Discriminant Analysis (FDA), Bayesian rule was used to classify and validate candidate image. Extensive experimental results show that, our system has achieved detection rate and recognition rate of over 90% with a processing speed of 20-25 fps.

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Publication

Library number
C 47201 (In: C 46669 CD-ROM) /91 / ITRD E852950
Source

In: ITS in daily life : proceedings of the 16th World Congress on Intelligent Transport Systems (ITS), Stockholm, Sweden, September 21-25, 2009, 7 p.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.