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

Philippe Foucher, Pierre Charbonnier, Houssem Kebbous

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

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  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
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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