Abstract
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.
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Zhang, Y., Xu, M., Shen, H. (2013). Design of Face Detection System Based on FPGA. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38715-9_48
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DOI: https://doi.org/10.1007/978-3-642-38715-9_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38714-2
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