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Automatic Recognition of Road Sign Passo-Carrabile

  • Luca Lombardi
  • Roberto Marmo
  • Andrea Toccalini
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

Abstract

This paper describes a method to detect and identify the typical italian road sign passo-carrabile. The system first determines the region of interest within the image, using color segmentation, then the signal of no waiting is identified using shape and color information, and finally the text label passo-carrabile is recognised with a state diagram and a set of specific tests on the shape of the words. The obtained results show the feasibility of the system.

References

  1. 1.
    Escalera, A., Moreno, S., Armigol, J.: Road Traffic Sign Detection and Classification. IEEE Transactions on Industrial Electronics 44, 848–859 (1997)CrossRefGoogle Scholar
  2. 2.
    Miura, J., Kanda, T., Shirail, Y.: An Active Vision System for Real-Time Traffic Sign Recognition. In: Proc. of IEEE Conference on Intelligent Transportation System, pp. 52–57 (2000)Google Scholar
  3. 3.
    Escalera, A., Armingol, J., Mata, M.: Traffic sign recognition and analysis for intelligent vehicles. Image and Vision Computing 11, 247–258 (2003)Google Scholar
  4. 4.
    Zadeh, M., Kasvand, T., Suen, C.Y.: Localization and Recognition of Traffic Signs for Automated Vehicle Control Systems. In: Conference on Intelligent Transportation Systems, Pittsburgh, PA, pp. 272–282 (1998)Google Scholar
  5. 5.
    Bénallal, M., Meunier, J.: Real-time color segmentation of road signs. In: IEEE Canadian Conference on Electrical and Computer Engineering, Montréal, Québec, Canada, pp. 1823–1826 (2003)Google Scholar
  6. 6.
    Vitabile, S., Pilato, G., Pollaccia, G., Corbello, F.: Road Signs Recognition Using a Dynamic Pixel Aggregation Technique in the HSV Color Space. In: Proceedings of 11th International Conference on Image Analysis and Processing, Palermo, Italy, pp. 572–577 (2001)Google Scholar
  7. 7.
    Gavrila, D.M.: Traffic Sign Recognition Revisited. In: Proceedings of the 21st DAGM Symposium für Mustererkennung, pp. 86–93. Springer, Bonn (1999)Google Scholar
  8. 8.
    Liu, H.X., Ran, B.: Vision-Based Stop Sign Detection and Recognition System for Intelligent Vehicles. Transportation Research Record 1748, 161–166 (2001)CrossRefGoogle Scholar
  9. 9.
  10. 10.
    Sekanina, L., Torresen, J.: Detection of Norwegian Speed Limit Signs. In: Proceedings of 16th European Simulation Multiconference, Darmstadt, Germany, pp. 337–340 (2002)Google Scholar
  11. 11.
    Vitabile, S., Gentile, A., Dammone, G., Sorbello, F.: MLP Neural Network Implementation on a SIMD Architecture. In: Marinaro, M., Tagliaferri, R. (eds.) WIRN 2002. LNCS, vol. 2486, pp. 99–108. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  12. 12.
    Piccioli, G., DeMicheli, E., Campani, M.: A Robust Method for Road Sign Detection and Recognition. In: Proceedings of Third European Conference on Computer Vision, pp. 495–500 (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Luca Lombardi
    • 1
  • Roberto Marmo
    • 1
  • Andrea Toccalini
    • 1
  1. 1.Dipartimento di Informatica e SistemisticaUniversity of PaviaPaviaItaly

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