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An Approach to the Recognition of Informational Traffic Signs Based on 2-D Homography and SVMs

  • A. Vázquez-Reina
  • R. J. López-Sastre
  • P. Siegmann
  • S. Lafuente-Arroyo
  • H. Gómez-Moreno
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4179)

Abstract

A fast method for the recognition and classification of informational traffic signs is presented in this paper. The aim is to provide an efficient framework which could be easily used in inventory and guidance systems. The process consists of several steps which include image segmentation, sign detection and reorientation, and finally traffic sign recognition. In a first stage, a static HSI colour segmentation is performed so that possible traffic signs can be easily isolated from the rest of the scene; secondly, shape classification is carried out so as to detect square blobs from the segmented image; next, each object is reoriented through the use of a homography transformation matrix and its potential axial deformation is corrected. Finally a recursive adaptive segmentation and a SVM-based recognition framework allow us to extract each possible pictogram, icon or symbol and classify the type of the traffic sign via a voting-scheme.

Keywords

Traffic Sign Intelligent Transportation System Road Sign Shape Classification Luminance Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • A. Vázquez-Reina
    • 1
  • R. J. López-Sastre
    • 1
  • P. Siegmann
    • 1
  • S. Lafuente-Arroyo
    • 1
  • H. Gómez-Moreno
    • 1
  1. 1.Department of Signal Theory and CommunicationsUniversidad de Alcalá, Escuela Politécnica SuperiorAlcalá de HenaresSpain

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