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  • 标题:Design of a Real-Time Face Detection Parallel Architecture Using High-Level Synthesis
  • 本地全文:下载
  • 作者:Nicolas Farrugia ; Franck Mamalet ; Sébastien Roux
  • 期刊名称:EURASIP Journal on Embedded Systems
  • 印刷版ISSN:1687-3955
  • 电子版ISSN:1687-3963
  • 出版年度:2008
  • 卷号:2008
  • DOI:10.1155/2008/938256
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    We describe a High-Level Synthesis implementation of a parallel architecture for face detection. The chosen face detection method is the well-known Convolutional Face Finder (CFF) algorithm, which consists of a pipeline of convolution operations. We rely on dataflow modelling of the algorithm and we use a high-level synthesis tool in order to specify the local dataflows of our Processing Element (PE), by describing in C language inter-PE communication, fine scheduling of the successive convolutions, and memory distribution and bandwidth. Using this approach, we explore several implementation alternatives in order to find a compromise between processing speed and area of the PE. We then build a parallel architecture composed of a PE ring and a FIFO memory, which constitutes a generic architecture capable of processing images of different sizes. A ring of 25 PEs running at 80 MHz is able to process 127 QVGA images per second or 35 VGA images per second.

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