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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Design of Face Detection System Based on FPGA
verfasst von : Yujie Zhang, Meihua Xu, Huaming Shen
Erschienen in: Advances in Swarm Intelligence
Verlag: Springer Berlin Heidelberg
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To solve the real-time problem of face detection, considering the realization bottleneck of AdaBoost pure software algorithm, FPGA-based hardware acceleration platform strategy is proposed. The paper analyzes the algorithm and partition the module for accelerating. The ZYNq-7000 platform FPGA from XILINX is adopted in the experiment, in which the hardware and software co-design is used. The final results show that it can detect face sat a 17fps speed with high hit rate and low false detection rate.