Traffic sign detection and recognition for intelligent vehicle

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2011, Pages 908-913

  Chen, Long ^a   Li, Qingquan ^a   Li, Ming ^b   Mao, Qingzhou ^a  

^a WUHAN UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR-BASED SEGMENTATION; DATA SETS; DETECTION PHASE; HAAR WAVELETS; LOCAL INVARIANT FEATURES; RECOGNITION ACCURACY; REGIONS OF INTEREST; SIGN RECOGNITION; SPEEDED UP ROBUST FEATURES; TEMPLATE IMAGES; TRAFFIC SIGN DETECTION; VISION BASED SYSTEM;

ADAPTIVE BOOSTING; COMPUTER VISION; IMAGE MATCHING; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; TRAFFIC SIGNS; VEHICLES;

FEATURE EXTRACTION;

EID: 79960813940     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2011.5940543     Document Type: Conference Paper

References (28)

1. D.M. Gavrila, U. Franke, C. Wohler, and S. Gorzig: Real time vision for intelligent vehicles, Instrumentation & Measurement Magazine, IEEE Volume 4, Issue 2, June 2001 Page(s): 22-27. (Pubitemid 32609096)
2. N. Barnes, A. Zelinsky: Real-time radial symmetry for speed sign detection, Intelligent Vehicles Symposium, 2004 IEEE, 14-17 June 2004 Page(s):566-571.
3. D.M. Gavrila, V. Philomin: Real-time object detection for "smart" vehicles, Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on, Volume 1, 20-27 Sept. 1999 Page(s):87-93 vol.1.
4. V. Andrey, Kang Hyun Jo: Automatic Detection and Recognition of Traffic Signs using Geometric Structure Analysis. S.ICE-ICASE International Joint Conference, page 1451.1456 2009.
5. N. Kehtarnavaz, A. Ahmad: Traffic sign recognition in noisy outdoor scenes, In: Proceedings of Intelligent Vehicles 1995: 460.465.
6. A. de la Escalera, J. Armingol, and M. Mata: Traffic Sign Recognition and Analysis for Intelligent Vehicles, Image and Vision Comput., 21, pp. 247-258, 2003.
7. A. de la Escalera, J. Armingol, and J. Pastor: Visual Sign Information Extraction and Identification by Deformable Models for Intelligent Vehicles, IEEE Trans. Intell. Transp. Syst., 5, pp. 57-68, 2004.
8. H. Fleyeh: Color Detection and Segmentation for Road and Traffic Signs, IEEE Conf. Cybern. and Intelligent Syst., 2004, pp. 809-814.
9. N. Kehtarnavaz, N.C. Griswold, D.S. Kang: Stop-sign recognition based on colour-shape processing, Machine Vision and Applications, 1993, 6:206-208.
10. A. Soetedjo, K. Yamada: Fast and Robust Traffic Sign Detection. in: Proceedings of the International Conferenceon, 2005, 2(1341-1346).
11. G. Piccioli, E. D. Micheli, P. Parodi, M. Campani: Robust method for road sign detection and recognition, Image and Vision Computing (1996), 14:209-223. (Pubitemid 126375067)
12. W. Wu, X. Chen, and J. Yang: Detection of text on road signs from video, Intelligent Transportation Systems, IEEE Transactions on, vol. 6, no. 4, pp. 378-390, 12 2005.
13. L. Li, G. Ma, and S. Ding: Identification of degraded traffic sign symbols using multi-class support vector machines, Mechatronics and Automation, 2007. ICMA 2007. International Conference on, pp. 2467-2471, 8 2007.
14. G. Siogkas and E. Dermatas: Detection, tracking and classification of road signs in adverse conditions, Electrotechnical Conference, 2006. MELECON 2006. IEEE Mediterranean, pp. 537-540, 2006.
15. N. Barnes and A. Zelinsky: Real-time radial symmetry for speed sign detection, Intelligent Vehicles Symposium, 2004 IEEE, pp. 566-571, 6 2004.
16. C. G. Keller, C. Sprunk, C. Bahlmann, J. Giebel, and G. Baratoff: Real-time recognition of u.s. speed signs, in IEEE Intelligent Vehicles Symposium (IV 2008), 2008.
17. C. Bahlmann, Y. Zhu, V. Ramesh, M. Pellkofer, and T. Koehler: A system for traffic sign detection, tracking, and recognition using color, shape, and motion information, Intelligent Vehicles Symposium, 2005. Proceedings. IEEE, pp. 255-260, 6 2005.
18. K. A. Ishak, M. M. Sani, N. M. Tahir, S. A. Samad, and A. Hussain: A speed limit sign recognition system using artificial neural network, Research and Development, 2006. SCOReD 2006. 4th Student Conference on, pp. 127-131, 6 2006.
19. S. Maldonado-Bascon, S. Lafuente-Arroyo, P. Siegmann, H. Gomez-Moreno, and F. Acevedo-Rodriguez: Traffic sign recognition system for inventory purposes, in Procs. IEEE Intelligent Vehicles Symposium 2008, Eindhoven, Netherlands, June 2008, pp. 590-595.
20. R. Ach, M. Luth, T. Schinner, A. Techmer, and S. Walther: Classification of traffic signs in real-time on a multi-core processor, in Procs. IEEE Intelligent Vehicles Symposium 2008, Eindhoven, Netherlands, June 2008, pp. 313-318.
21. N. Yok-Yen and A. Kouzani: Automatic road sign recognition using neural networks, Neural Networks, 2006. IJCNN '06. International Joint Conference on, pp. 3955-3962, 0-0 2006.
22. A. Z. Kouzani, "Road-sign identification using ensemble learning," in Intelligent Vehicles Symposium, 2007 IEEE, 2007, pp. 438-443. [Online]. Available: http://dx.doi.org/10.1109/IVS.2007.4290154.
23. Dermatas, G.K.S.a.E.S: Detection, Tracking and Calssification of Road Signs in Adverse Conditions, IEEE MELECON, Spain, p.537-540.
24. A. de la Escalera, J.M.A.a.M.M: Traffic sign recognition and analysis for intelligent vehicles, Image and Vision Computing, Vol.21-3, p.247-258.
25. Ran, H.X.L.a.B: Vision-Based Stop Sign Detection and Recognition System, Transportation Research Record, p.161-166.
26. H. Bay and T. Tuytelaars and L. Van Gool: Speeded Up Robust Features, ECCV, 2006.
27. Beat Fasel and Luc Van Gool: Interactive Museum Guide: Accurate Retrieval of Object Descriptions, in "Adaptive Multimedia Retrieval: User, Context, and Feedback", Lecture Notes in Computer Science, Springer, volume 4398, 2007.
28. S. Arya, D. Mount, N. Netanyahu, R. Silverman, and A. Wu: An optimal algorithm for approximate nearest neighbor searching, J. of the ACM, vol. 45, pp. 891-923, 1998, http://www.cs.umd.edu/mount/ANN/.