Automatic Detection and Classification of Traffic Signs

Authors:
Carlos Filipe Paulo;Paulo Lobato Correia
Affiliations:
Instituto de Telecomunicacoes, Instituto Superior Tecnico, Portugal;Instituto de Telecomunicacoes, Instituto Superior Tecnico, Portugal
Venue:
WIAMIS '07 Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services
Year:
2007

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Machine Vision and Applications

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Abstract

This paper proposes algorithms for the automatic detection of traffic signs from photo or video images and their classification to provide a driver alert system. Several examples taken from Portuguese roads are used to demonstrate the effectiveness of the proposed system. Traffic signs are detected by analyzing color information, notably red and blue, contained on the images. The detected signs are then classified according to their shape characteristics, as triangular, squared and circular shapes. Combining color and shape information, traffic signs are classified into one of the following classes: danger, information, obligation or prohibition. Both the detection and classification algorithms include innovative components to improve the overall system performance.