An FPGA-based stream processor for embedded real-time vision with Convolutional Networks

  title={An FPGA-based stream processor for embedded real-time vision with Convolutional Networks},
  author={Cl{\'e}ment Farabet and Cyril Poulet and Yann LeCun},
  journal={2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops},
Many recent visual recognition systems can be seen as being composed of multiple layers of convolutional filter banks, interspersed with various types of non-linearities. This includes Convolutional Networks, HMAX-type architectures, as well as systems based on dense SIFT features or Histogram of Gradients. This paper describes a highly-compact and low power embedded system that can run such vision systems at very high speed. A custom board built around a Xilinx Virtex-4 FPGA was built and… CONTINUE READING
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