Using Geometric Model Guided Active Contour Method for Traffic Sign Detection

Long Quan 1 Roger Mohr 2
2 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : The subject of this paper is on drtection, location of traffic signs. The way we are operating is by first detecting salient features, then tracking them, and finally identifying then1 in a snapshot view at the right resolution. A mixed model guided active detection is chosen to compensate for imperfect low level segmentation. The detection is also optimized based on a active contour model. The first experimental results are presented and the future working directions on the topic are also discussed.
Type de document :
Communication dans un congrès
IAPR Workshop on Machine Vision Applications (MVA '90), Nov 1990, Tokyo, Japan. pp.417--420, 1990
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https://hal.inria.fr/inria-00548462
Contributeur : Thoth Team <>
Soumis le : lundi 20 décembre 2010 - 08:46:18
Dernière modification le : mercredi 11 avril 2018 - 01:56:07

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  • HAL Id : inria-00548462, version 1

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Long Quan, Roger Mohr. Using Geometric Model Guided Active Contour Method for Traffic Sign Detection. IAPR Workshop on Machine Vision Applications (MVA '90), Nov 1990, Tokyo, Japan. pp.417--420, 1990. 〈inria-00548462〉

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