Traffic Sign Detection and Pattern Recognition Based on Binary Tree Support Vector Machines

Abstract:

This paper presents an automatic road sign detection and recognition system based on binary tree SVM. Color based segmentation techniques are employed for traffic sign detection. The coordinates position of traffic sign in images used for shape classification are obtained by orthogonal projection. An algorithm based on Hough transform was proposed to achieve better shape classification performance.Recognition of traffic signs are implemented using binary tree multi- classifer SVM with geometry semantic feature as the feature vector

• Periodical: Advanced Materials Research (Volumes 204-210)
• Pages: 1394-1398
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.204-210.1394
• Online since: February 2011
• Authors: Fa Ming Gong, Hai Juan Li
• Keywords: Binary Tree SVM, Color Based Segmentation, Feature Extraction, Hough Transform (HT)

References

[1] Armingol J M, Escalera A, Hilario C, et al, Intelligent vehicle based on visual information[J]. Robotics and Autonomous Systems, 2007, 55(12): 904-916.

DOI: 10.1016/j.robot.2007.09.004

[2] Escalera, A., Moreno, L., et al. Road Traffic Sign Detection and Classification. In IEEE Transactions on Industrial Electronics, Vol. 44, pp.848-858, (1997).

DOI: 10.1109/41.649946

[3] Yager, N., Sowmya, A., 2003. Support Vector Machines for Road Extraction from Remotely Sensed Images. Proc. CAIP 2003, pp.285-292.

DOI: 10.1007/978-3-540-45179-2_36

[4] Sungmoon C, Sang H O, Soo-Young L. Support Vector Machines with Binary Tree Achitecture for Muti-Class Classification[J]. Neural Information Processing-Letters and Reviews, 2004; 2(3); 47-51.

[5] A. de la Escalera J.M. Armingol J.M. Pastor, and F.J. Rodriguez, Visual Sign Information Extraction and Identification by Deformable Models for Intelligent Vehicles, IEEE Transactions on Intelligent Transportation Systems, vol. 5, no. 2, pp.57-68, (2004).

DOI: 10.1109/tits.2004.828173

[6] Hough Transform in Digital Photogrammetry, C Adamos and W. Faig. Department of Surveying Engineering, Univ. of New Brunswick , Canada Comission III.

[7] Ellipse Detection Using Randomized Hough Transform, Samuel Inverso, May (2002).

[8] Kiran C. G., Lekhesh V. Prabhu, Abdu Rahiman V. and Rajeev K. Traffic Sign Detection and Pattern Recognition using Support Vector Machine. 2009, Seventh International Conference on Advances in Pattern Recognition.

DOI: 10.1109/icapr.2009.58

[9] Saturnino Maldonado Bascon et al., Road Sign Detection and Recognition Based on Support Vector Machines, IEEE Transactions on Intelligent Transportation Systems, vol. 8, no. 2, June (2007).

DOI: 10.1109/tits.2007.895311

[10] Shigeo Abe, Support Vector Machines for Pattern Classification, Spring-Veriag London Limited, (2005).