Evaluation of a road sign pre-detection system by image analysis
| Autor: | Foucher, Philippe, Charbonnier, Pierre, Kebbous, Houssem |
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| Přispěvatelé: | Centre d'études techniques de l'équipement Est (CETE Est), Avant création Cerema, Cadic, Ifsttar |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
SIGNALISATION ROUTIERE
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing EVALUATION ALGORITHME COULEUR BASE DE DONNEES TRAITEMENT DES IMAGES [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing DETECTION |
| Zdroj: | International Conference on Computer Vision Theory and Application (VISAPP) International Conference on Computer Vision Theory and Application (VISAPP), Feb 2009, France. pp 362-367 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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