EVALUATION OF A ROAD SIGN PRE-DETECTION SYSTEM BY IMAGE ANALYSIS

Philippe Foucher, Pierre Charbonnier, Houssem Kebbous

2009

Abstract

In this paper, we introduce a pre-detection algorithm dedicated to French danger-warning and prohibitory road signs. The proposed method combines color, shape, location and symmetry features to select among large image databases, a small subset of pictures that probably contain road signs. We report the results of a systematic experimental assessment that we performed on five image databases, comprised of more than 26,000 images, covering 176 km and containing 371 traffic signs, among which a non-negligible amount (about 5% in average) is damaged. The experiments show that about 10% images of the sequences are selected and more than 87% traffic signs are detected. The missed objects always correspond to dirty, worn-out or badly oriented signs that would be difficult to detect even for a human operator.

References

  1. Barnes, N., Zelinsky, A., and Fletcher, L. (2008). Real-time speed sign detection using the radial symmetry detector. IEEE Transactions on Intelligent Transportation Systems, 9(2):322-332.
  2. de la Escalera, A., Armingol, J. M., and Mata, M. (2003). Traffic sign recognition and analysis for intelligent vehicles. Image and Vision Computing, 21(3):247-258.
  3. Dutilleux, G. and Charbonnier, P. (2007). Métaheuristiques biologiques pour la détection de la signalisation routière. In Siarry, P., editor, Optimisation en traitement du signal et de l'image, Traité IC2, série traitement du signal et de l'image, chapter 10, pages 271- 294. Hermes.
  4. Loy, G. and Barnes, N. (2004). Fast shape-based road sign detection for a driver assistance system. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'04), volume 1, pages 70-75, Sendai, Japan.
  5. Loy, G. and Zelinsky, A. (2003). Fast radial symmetry for detecting points of interest. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(8):959- 973.
  6. Maldonado-Bascon, S., Lafuente-Arroyo, S., Gil-Jimenez, P., Gomez-Moreno, H., and F.Lopez-Ferreras (2007). Road-sign detection and recognition based on support vector machines. IEEE Transactions on Intelligent Transportation Systems, 8(2):264-278.
  7. Piccioli, G., Micheli, E. D., Parodi, P., and Campani, M. (1996). A robust method for road sign detection and recognition. Image and Vision Computing Journal, 14:209-223.
  8. Priese, L., Rehrmann, V., Schian, R., and Lakmann, R. (1993). Traffic sign recognition based on color image evaluation. In IEEE Intelligent Vehicles Symposium, pages 95-100, Tokyo, Japan.
  9. Shaposhnikov, D., Lubov, N., Podladchikova, L., Golovan, A., Shevtsova, N., Hong, K., and Gao, X. (2002). Road sign recognition by single positioning of spacevariant sensor window. In 15th International Conference on Vision Interface, pages 213-217, Calgary, Canada.
  10. False Positive Rate 0.05 0.1 0.2 0.25 0.3 Figure 4: Influence of symmetry on the detection of PS; the symmetry threshold varies over [0,70].
  11. Figure 6: Influence of symmetry on the detection of WS; the
Download


Paper Citation


in Harvard Style

Foucher P., Charbonnier P. and Kebbous H. (2009). EVALUATION OF A ROAD SIGN PRE-DETECTION SYSTEM BY IMAGE ANALYSIS . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 362-367. DOI: 10.5220/0001801003620367


in Bibtex Style

@conference{visapp09,
author={Philippe Foucher and Pierre Charbonnier and Houssem Kebbous},
title={EVALUATION OF A ROAD SIGN PRE-DETECTION SYSTEM BY IMAGE ANALYSIS},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={362-367},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001801003620367},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - EVALUATION OF A ROAD SIGN PRE-DETECTION SYSTEM BY IMAGE ANALYSIS
SN - 978-989-8111-69-2
AU - Foucher P.
AU - Charbonnier P.
AU - Kebbous H.
PY - 2009
SP - 362
EP - 367
DO - 10.5220/0001801003620367