A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing

  • Pınar Muyan-Özçelik
  • Vladimir Glavtchev
  • Jeffrey M. Ota
  • John D. Owens
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6376)

Abstract

We present a template-based pipeline that performs realtime speed-limit-sign recognition using an embedded system with a lowend GPU as the main processing element. Our pipeline operates in the frequency domain, and uses nonlinear composite filters and a contrastenhancing preprocessing step to improve its accuracy. Running at interactive rates, our system achieves 90% accuracy over 120 EU speed-limit signs on 45 minutes of video footage, superior to the 75% accuracy of a non-real-time GPU-based SIFT pipeline.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Pınar Muyan-Özçelik
    • 1
  • Vladimir Glavtchev
    • 1
    • 2
  • Jeffrey M. Ota
    • 2
  • John D. Owens
    • 1
  1. 1.University of CaliforniaDavis
  2. 2.BMW Group Technology OfficePalo Alto

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