Multi-Feature Fusion Based Circular Traffic Sign Detection
ZHANG Jing, HE Ming-Yi, DAI Yu-Chao, QU Xiao-Gang
Shaanxi Key Laboratory of Information Acquisition and Processing, School of Electronics and Information, Northwestern Polytechnical University, Xian 710129
Abstract：Based on color and shape features of circular traffic sign, a multi-feature fusion based circular traffic sign detection algorithm is proposed. Firstly, color segmentation and achromatic decomposition are used to extract area containing circular traffic signs, and thus most of the background area is eliminated. Then, edge detection is applied, and the output edges are stored by chain code. Features, including length of contour, circularity and aspect ratio, are used to further eliminate background area. Finally, according to the shape feature of circular traffic sign, nonlinear least squares method is employed to detect the exact traffic signs. Effectiveness of the proposed algorithm is demonstrated preliminarily on real images captured under various weather and illumination conditions.
[1] Maldonado-Bascon S, Laufente-Arroyo S, Gil-Jimenez P, et al. Road-Sign Detection and Recognition Based on Support Vector Machines. IEEE Trans on Intelligent Transportation Systems, 2007, 8(2): 264-278 [2] Nguwi Y Y, Kouzani A Z. Automatic Road Sign Recognition Using Neural Networks.// Proc of the International Joint Conference on Neural Networks. Vancouver, Canada, 2006: 3955-3962 [3] Hsu S H, Huang C L. Road Sign Detection and Recognition Using Matching Pursuit Method. Image and Vision Computing, 2001, 19(3): 119-129 [4] De la Escalera A, Moreno L E, Salichs M A, et al. Road Traffic Sign Detection and Classification. IEEE Trans on Industrial Electronics, 1997, 44(6): 848-859 [5] Escalera S, Radeva P. Fast Greyscale Road Sign Model Matching and Recognition // Vitria J, Radeva P, Aguilo I, eds. Recent Advances in Artificial Intelligence Research and Development. Amsterdam, Netherlands, 2004: 69-76 [6] Barnes N, Zelinsky A, Fletcher L S. Real-Time Speed Sign Detection Using the Radial Symmetry Detector. IEEE Trans on Intelligent Transportation Systems, 2008, 9(2): 322-332 [7] Broggi A, Cerri P, Medici P, et al. Real Time Road Signs Recognition // Proc of the IEEE Intelligent Vehicles Symposium. Istanbul, Turkey, 2007: 981-986 [8] Han Liu, Ding Liu, Jing Xin. Real-Time Recognition of Road Traffic Sign in Motion Image Based on Genetic Algorithm // Proc of the International Conference on Machine Learning and Cybernetics. Beijing, China, 2002: 83-86 [9] Forsyth D A, Ponce J. Computer Vision: A Modern Approach. Upper Saddle River, USA: Prentice Hall, 2002 [10] He Mingyi, Wei Baoguo. Digital Image Processing. Beijing, China: Science Press, 2008 (in Chinese) (何明一,卫保国.数字图像处理.北京:科学出版社, 2008)
2011, Vol. 24 
