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SVM Based Classification of Traffic Signs for Realtime Embedded Platform

  • Rajeev Kumaraswamy
  • Lekhesh V. Prabhu
  • K. Suchithra
  • P. S. Sreejith Pai
Part of the Communications in Computer and Information Science book series (CCIS, volume 193)

Abstract

A vision based traffic sign recognition system collects information about road signs and helps the driver to make timely decisions, making driving safer and easier. This paper deals with the real-time detection and recognition of traffic signs from video sequences using colour information. Support vector machine based classification is employed for the detection and recognition of traffic signs. The algorithms implemented are tested in a real time embedded environment. The algorithms are trainable to detect and recognize important prohibitory and warning signs from video captured in real-time.

Keywords

traffic sign recognition support vector machine pattern classification realtime embedded system 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Rajeev Kumaraswamy
    • 1
  • Lekhesh V. Prabhu
    • 1
  • K. Suchithra
    • 1
  • P. S. Sreejith Pai
    • 1
  1. 1.Network Systems & Technologies Pvt LtdTrivandrumIndia

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