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Open Access Publications from the University of California

Feature-Based Speed Limit Sign Detection Using a Graphics Processing Unit

  • Author(s): Glavtchev, Vladimir
  • Muyan-Ozcelik, Pinar
  • Ota, Jeffrey M.
  • Owens, John D.
  • et al.

In this study we test the idea of using a graphics processing unit (GPU) as an embedded co-processor for realtime detection of European Union (EU) speed-limit signs. The input to the system is a set of grayscale videos recorded from a forward-facing camera mounted in a vehicle. We introduce a new technique for implementing the radial symmetry detector (RSD) efficiently using the native rendering capabilities of a GPU. The technique maps the algorithms to the hardware such that the detection of speed-limit sign candidates is significantly accelerated. The system reaches up to 88% detection rate and runs at 33 frames per second on video sequences with VGA (640x480) resolution on an embedded system with an Intel Atom 230 @ 1.67 GHz CPU and a NVIDIA GeForce 9400M GS GPU.

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