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Communication Dans Un Congrès Année : 2011

Detection and classification of traffic signs using Gabor Filter

Résumé

The paper proposes a three steps algorithm that automatically detects, classifies and recognizes traffic signs from images taken from a car running along European road. Traffic signs are detected by analyzing the color information contained in the images using HSV color space. Detected signs are then classified using correlation with standard sign shapes. The recognition step uses the minimum distance classification based on calculating the Euclidean distance between two feature vectors composed using a Gabor filter with different parameters.
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Dates et versions

hal-00716320 , version 1 (10-07-2012)

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Mariut Felix, Fosalau Cristian, Manuel Avila, Petrisor Daniel. Detection and classification of traffic signs using Gabor Filter. Telecommunications and Signal Processing (TSP), 2011 34th, Aug 2011, Budapest, Hungary. pp.554-558, ⟨10.1109/TSP.2011.6043668⟩. ⟨hal-00716320⟩
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