Real-time detection and recognition of road traffic signs

IEEE Transactions on Intelligent Transportation Systems

Volumn 13, Issue 4, 2012, Pages 1498-1506

  Greenhalgh, Jack ^a   Mirmehdi, Majid ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

Histogram of oriented gradient (HOG) features; maximally stable extremal regions (MSERs); support vector machines (SVMs); synthetic data; traffic sign recognition

Indexed keywords

AUTOMATIC DETECTION; AVERAGE SPEED; FRAMES PER SECONDS; HISTOGRAM OF ORIENTED GRADIENT (HOG) FEATURES; LIGHTING CONDITIONS; MAXIMALLY STABLE EXTREMAL REGIONS; ONLINE DATABASE; REAL-TIME DETECTION; ROAD SIGNS; SYNTHETIC DATA; TEMPLATE IMAGES; TRAFFIC SIGN RECOGNITION; TRAINING DATA; VEHICLE SPEED; WEATHER CONDITIONS;

GRAPHIC METHODS; ROADS AND STREETS; SUPPORT VECTOR MACHINES;

TRAFFIC SIGNS;

EID: 84870511714     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2012.2208909     Document Type: Article

References (31)

1. J. Matas, "Robust wide-baseline stereo from maximally stable extremal regions, " Image Vis. Comput., vol. 22, no. 10, pp. 761-767, Sep. 2004.
2. Dept. Transp., London, U. K., Traffic Signs Image Database, 2011.
3. M. Hossain, M. Hasan, M. Ali, M. Kabir, and A. Ali, "Automatic detection and recognition of traffic signs, " in Proc. RAM, 2010, pp. 286-291.
4. K. Ohgushi and N. Hamada, "Traffic sign recognition by bags of features, " in Proc. TENCON, 2009, pp. 1-6.
5. H. Pazhoumand-Dar and M. Yaghobi, "DTBSVMs: A new approach for road sign recognition, " in Proc. ICCICSN, Jul. 2010, pp. 314-319.
6. D. Kang, N. Griswold, and N. Kehtarnavaz, "An invariant traffic sign recognition system based on sequential color processing and geometrical transformation, " in Proc. IAI, 1994, pp. 88-93.
7. P. Paclik and J. Novovicová, "Road sign classification without color information, " in Proc. ASIC, Lommel, Belgium, 2000.
8. S. Vitabile, G. Pollaccia, G. Pilato, and E. Sorbello, "Road signs recognition using a dynamic pixel aggregation technique in the HSV color space, " in Proc. IAP, 2001, pp. 572-577.
9. 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, " in Proc. IVS, 2005, pp. 255-260. (Pubitemid 44055135)
10. X. Gao, L. Podladchikova, D. Shaposhnikov, K. Hong, and N. Shevtsova, "Recognition of traffic signs based on their color and shape features extracted using human vision models, " J. Vis. Commun. Imag. Represent., vol. 17, no. 4, pp. 675-685, Aug. 2006. (Pubitemid 43767278)
11. S. Maldonado-Bascón, S. Lafuente-Arroyo, P. Gil-Jimenez, H. Gomez-Moreno, and F. Lopez-Ferreras, "Road-sign detection and recognition based on support vector machines, " IEEE Trans. Intell. Transp. Syst., vol. 8, no. 2, pp. 264-278, Jun. 2007. (Pubitemid 46873208)
12. R. Malik, J. Khurshid, and S. Ahmad, "Road sign detection and recognition using color segmentation, shape analysis and template matching, " in Proc. ICMLC, Aug. 2007, vol. 6, pp. 3556-3560.
13. M. Rahman, F. Mousumi, E. Scavino, A. Hussain, and H. Basri, "Realtime road sign recognition system using artificial neural networks for Bengali textual information box, " in Proc. ITSim, 2008, vol. 2, pp. 1-8.
14. Y. Wang, M. Shi, and T. Wu, "A method of fast and robust for traffic sign recognition, " in Proc. ICIG, 2009, pp. 891-895.
15. A. Ruta, Y. Li, and X. Liu, "Real-time traffic sign recognition from video by class-specific discriminative features, " Pattern Recognit., vol. 43, no. 1, pp. 416-430, Jan. 2010.
16. Y. Gu, T. Yendo, M. Tehrani, T. Fujii, and M. Tanimoto, "A new vision system for traffic sign recognition, " in Proc. IV, 2010, pp. 7-12.
17. E. Cardarelli, P. Medici, P. P. Porta, and G. Ghisio, "Road sign shapes detection based on Sobel phase analysis, " in Proc. IEEE IVS, 2009, pp. 376-381.
18. H. Huang, C. Chen, Y. Jia, and S. Tang, "Automatic detection and recognition of road sign, " in Proc. ICMESA, 2008, pp. 626-630.
19. P. Wanitchai and S. Phiphobmongkol, "Traffic warning signs detection and recognition based on fuzzy logic and chain code analysis, " in Proc. IITA, 2008, pp. 508-512.
20. C. G. Kiran, L. V. Prabhu, R. V. Abdu, and K. Rajeev, "Traffic sign detection and pattern recognition using support vector machine, " in Proc. ICAPR, 2009, pp. 87-90.
21. W. Shadeed, D. Abu-Al-Nadi, and M. Mismar, "Road traffic sign detection in color images, " in Proc. ICECS, 2003, vol. 2, pp. 890-893.
22. G. Loy, "Fast shape-based road sign detection for a driver assistance system, " in Proc. IROS, 2004, pp. 70-75. (Pubitemid 40275579)
23. I. Creusen, R. Wijnhoven, and E. Herbschleb, "Color exploitation in HOG-based traffic sign detection, " in Proc. ICIP, 2010, pp. 2669-2672.
24. G. Overett, "Large-scale sign detection using HOG feature variants, " in Proc. IV, 2011, pp. 326-331.
25. A. Reiterer, "Automated traffic sign detection for modern driver assistance systems, " in Proc. FCBC, Sydney, Australia, 2010, pp. 11-16.
26. J. F. Khan, S. M. A. Bhuiyan, and R. R. Adhami, "Image segmentation and shape analysis for road-sign detection, " IEEE Trans. Intell. Transp. Syst., vol. 12, no. 1, pp. 83-96, Mar. 2011.
27. Volkswagen Media Services, (2012, Jan. 9), Phaeton debuts with new design and new technologies. [Online]. Available: https://www. volkswagenmedia- services. com/medias-publish/ms/content/en/pressemitteilungen/2010/04/22/ phaeton-debuts-with. standard. gid-oeffentlichkeit. html
28. Mobileye, (Oct. 26, 2011). Traffic Sign Detection, [Online]. Available: http://mobileye. com/technology/applications/traffic-sign-detection/
29. J. Stallkamp, M. Schlipsing, J. Salmen, and C. Igel, "German traffic sign recognition benchmark: A multiclass classification competition, " in Proc. IJCNN, 2011, pp. 1453-1460.
30. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection, " in Proc. CVPR, 2005, pp. 886-893. (Pubitemid 43897286)
31. C. Cortes and V. Vapnik, "Support vector networks, " J. Mach. Learn., vol. 20, no. 3, pp. 273-297, Sep. 1995.