Application of Vision Models to Traffic Sign Recognition

  • X.W. Gao
  • L. Podladchikova
  • D. Shaposhnikov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2714)

Abstract

A system for traffic sign recognition has been developed. Both colour and shape information from signs are utilised for extraction of features. Colour appearance model CIECAM97 has been applied to extract colour information and to segment and classify traffic signs. Whilst shape features are extracted using FOSTS model, the extension of Behaviour Model of Visions (BMV). Recoganition rate is very high. For British traffic signs (n=98) obtained under various viewing conditions, the recognition rate is up to 0.95.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Gavrila D. M., Franke U., Gorzig S., Wohler C: Real-time Vision for Intelligent Vehicles. IEEE Instrumentation and Measurement Magazine, Vol. 4 (2001) 22–27CrossRefGoogle Scholar
  2. 2.
    Lalonde M., Li Y: Road Sign Recognition–Survey of the State of Art, technique report for Sub-Project 2.4, CRIM-IIT-95/09-35, http://nannetta.ce.unipr.it/argo/theysay/rs2/#publications
  3. 3.
    Miura J., Kanda T., Shirai Y: An Active Vision System for Real-Time Traffic Sign Recognition. In Proc. 2000 IEEE Int. Conf. on Intelligent Transportation Systems (2000) 52–57Google Scholar
  4. 4.
    Podladchikova L.N., Gusakova V.I., Shaposhnikov D.G., Faure A., Golovan A.V., Shevtsova N.A: MARR: Active vision model, Proceedings SPIE’97, Vol. 3208 (1997) 418–425CrossRefGoogle Scholar
  5. 5.
    Rybak I.A., Gusakova V.I., Golovan A.V., Podladchikova L.N., Shevtsova N.A.: A Model of Attention-guided Visual Perception and Recognition, Vision Research, Vol. 38 (1998) 2387–2400CrossRefGoogle Scholar
  6. 6.
    Luo M.R., Hunt R.W.G: The structure of the CIE 1997 colour appearance model (CIECAM97s), Color Res. Appl., Vol. 23 (1998) 138–146CrossRefGoogle Scholar
  7. 7.
    CIE: The CIE 1997 Interim Colour Appearance Model (Simple Version), CIECAM97s, CIE TC1-34, April (1998)Google Scholar
  8. 8.
    Schwartz E.L., Greve D.N., Bonmassar G: Space-variant Active Vision: Definition, Overview and Examples. // Neural Networks, Vol..8 (1995), n.7/8 1297–1308CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • X.W. Gao
    • 1
  • L. Podladchikova
    • 2
  • D. Shaposhnikov
    • 2
  1. 1.School of Computing ScienceMiddlesex University, Bounds GreenLondonUK
  2. 2.Laboratory of Neuroinformatics of Sensory and Motor Systems, A.B. Kogan ResearchInstitute for Neurocybernetics, Rostov State UniversityRostov-on-DonRussia

Personalised recommendations