TY - GEN
T1 - Robust Implementation for Circular Traffic Sign Recognition
AU - Huang, Yuan Shui
AU - Fu, Meng Yin
AU - Ma, Hong Bin
N1 - Publisher Copyright:
© Springer Science+Business Media, LLC 2012.
PY - 2012
Y1 - 2012
N2 - The design of traffic sign recognition (TSR) system has been a challenging practical problem for many years. The frequently used approaches involve color segmentation, shape analysis, and pictogram classification. To cope with the requirements of robustness and accuracy, we introduce a robust circular traffic sign detection approach consisting of a color enhancement method which utilizes the nature of Lab color space and a circle detector based on improved constrained fast radial symmetry transform. To effectively represent the pictogram of candidate sign, an informative data representation method, i.e., circular local binary pattern histogram, is presented for designing the traffic sign classifier through support vector machine. The system performance under extensive experiments has shown robust detection effects and outperforms existing approaches in terms of classification accuracy.
AB - The design of traffic sign recognition (TSR) system has been a challenging practical problem for many years. The frequently used approaches involve color segmentation, shape analysis, and pictogram classification. To cope with the requirements of robustness and accuracy, we introduce a robust circular traffic sign detection approach consisting of a color enhancement method which utilizes the nature of Lab color space and a circle detector based on improved constrained fast radial symmetry transform. To effectively represent the pictogram of candidate sign, an informative data representation method, i.e., circular local binary pattern histogram, is presented for designing the traffic sign classifier through support vector machine. The system performance under extensive experiments has shown robust detection effects and outperforms existing approaches in terms of classification accuracy.
KW - Circular local binary pattern histogram
KW - Fast radial symmetry transform
KW - Support vector machine
KW - Traffic sign recognition
UR - https://www.scopus.com/pages/publications/85139003011
U2 - 10.1007/978-1-4419-8849-2_115
DO - 10.1007/978-1-4419-8849-2_115
M3 - Conference contribution
AN - SCOPUS:85139003011
SN - 9781441988485
T3 - Lecture Notes in Electrical Engineering
SP - 907
EP - 917
BT - 2011 International Conference in Electrics, Communication and Automatic Control Proceedings
A2 - Chen, Ran
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference in Electrics, Communication and Automatic Control, ECAC 2011
Y2 - 23 June 2011 through 24 June 2011
ER -