FPGA-GPU architecture for kernel SVM pedestrian detection

@article{Bauer2010FPGAGPUAF,
  title={FPGA-GPU architecture for kernel SVM pedestrian detection},
  author={Sebastian Bauer and Sebastian K{\"o}hler and Konrad Doll and Ulrich Brunsmann},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops},
  year={2010},
  pages={61-68}
}
We present a real-time multi-sensor architecture for video-based pedestrian detection used within a road side unit for intersection assistance. The entire system is implemented on available PC hardware, combining a frame grabber board with embedded FPGA and a graphics card into a powerful processing network. Giving classification performance top priority, we use HOG descriptors with a Gaussian kernel support vector machine. In order to achieve real-time performance, we propose a hardware… CONTINUE READING
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