Institute for Data Analysis and Visualization
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.
Published Web Locationhttps://doi.org/10.1109/IVS.2011.5940539
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.