EU Speed - limit Sign Detection

نویسندگان

  • Vladimir Roumenov Glavtchev
  • John D. Owens
  • VLADIMIR ROUMENOV GLAVTCHEV
  • Owen Carmichael
  • Jeff Ota
  • Ana Lucia Varbanescu
چکیده

In this study we test the idea of using a graphics processing unit (GPU) as an embedded co-processor for real-time speed-limit sign detection. We implement a system that operates in real-time within the computational limits of contemporary embedded general-purpose processors. The input to the system is a set of grayscale videos recorded from a camera mounted in a vehicle. We implement a new technique to realize the radial symmetry transform efficiently using rendering primitives accelerated by graphics hardware to detect the location of speed-limit sign candidates. 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 and a Nvidia GeForce 9200M GS. Associate Professor John D. Owens Dissertation Committee Chair EU Speed-limit Sign Detection Using a Graphics Processing Unit

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تاریخ انتشار 2009