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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/30019
Title: A first approach to learn the model of traffic signs using connectionist and syntactic methods
Authors: Sanfeliu, Alberto; Saínz, Miguel
Keywords: Pattern recognition
Issue Date: 1995
Publisher: Asociación Española de Reconocimientos de Formas y Análisis de Imágenes
Citation: Spanish Symposium on Pattern Recognition and Image Analysis : 1-8(1995)
Abstract: A system to learn and recognize traffic signs is described. The system uses neural network image processing and syntactic methods The learning process is based on the representation of traffic signs by means of a grammar, which is inferred from a set of positive and negative samples. The recognition of traffic signs in a scene is done in two steps. First, the sign is located in the scene by using a connectionist segmentation method. Second, the sign is coded and analyzed to determine which traffic sign it is. The system has been tested successfully only for the first step. The second step is currently under development.
Description: Spanish Symposium on Pattern Recognition and Image Analysis (SNRFAI), 1995, Cordoba, Spain
URI: http://hdl.handle.net/10261/30019
Appears in Collections:(IRII) Comunicaciones congresos
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