Semiconductor Optoelectronics, Volume. 45, Issue 3, 469(2024)

Low-power Face Detection Acceleration System Based on theZynq Platform

ZHAO Min1...2, XU Sheng1,2, HAN Luyu1,2, and LIN Zhixian1,23 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(12)

    [1] [1] Chandrappa D N ,Ravishankar M ,Ramesh Babu D R. Face detection in color images using skin color model algorithm based on skin color information[ C]// 2011 3rd Inter. Conf. on Electronics ComputerTechnology. IEEE ,2011: 254-258.

    [2] [2] Mathias M ,Benenson R ,PedersoliM ,et al. Face detection without bells and whistles [ C]// Computer Vision-ECCV 2014 ,2014: 720-735.

    [3] [3] Choukroun Y ,Kravchik E ,Yang F ,et al. Low-bit quantization of neural networks for efficient inference[ C]// 2019 IEEE/CVF Inter. Conf. on Computer Vision Workshop (ICCVW) . IEEE ,2019: 3009-3018.

    [4] [4] Liu W ,Anguelov D ,Erhan D ,et al. Ssd: Single shot multibox detector[C]//Computer Vision-ECCV 2016 ,2016:21-37.

    [5] [5] Redmon J ,DivvalaS ,Girshick R ,etal. You onlylook once: Unified ,real-time object detection[ C]// Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition ,2016:779-788.

    [6] [6] Girshick R ,Donahue J ,Darrell T ,et al. Rich feature hierarchies for accurate object detection and semantic segmentation[ C]// Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition ,2014: 580-587.

    [7] [7] GuillemotM ,Heusele C ,Korichi R ,et al. Breaking batch normalization forbetter explainability ofdeep neuralnetworks through layer-wise relevance propagation [ J/OL] . arXiv preprintarXiv: 2002. 11018 ,2020. https://ar5iv. labs. arxiv. org/html/2002. 11018.

    [9] [9] PestanaD ,Miranda P R ,Lopes J D ,et al. A full featured configurable accelerator for object detection with YOLO[J] . IEEE Access ,2021 ,9: 75864-75877.

    [10] [10] AdionoT ,PutraA ,SutisnaN ,etal. Low latencyYOLOv3- tiny accelerator for low-cost FPGA using general matrix multiplication principle[J] . IEEE Access ,2021 ,9: 141890-141913.

    [11] [11] Yu Z ,Bouganis C S. A parameterisable FPGA-tailored architecture for YOLOv3-tiny[C]// Applied Reconfigurable Computing. Architectures ,Tools ,and Applications ,2020:330-344.

    [12] [12] Nguyen D T ,Nguyen T N ,Kim H ,et al. A high- throughput and power-efficient FPGA implementation of YOLO CNN for object detection[J] . IEEE Trans. on Very Large Scale Integration ( VLSI) Systems ,2019 ,27( 8) : 1861-1873.

    [13] [13] Nakahara H ,Yonekawa H ,FujiiT ,et al. A lightweight YOLOv2: A binarized CNN with a parallel support vector regression for an FPGA [ C]// Proc. of the 2018 ACM/ SIGDA Inter. Symp. on Field-Programmable Gate Arrays,2018: 31-40.

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    ZHAO Min, XU Sheng, HAN Luyu, LIN Zhixian. Low-power Face Detection Acceleration System Based on theZynq Platform[J]. Semiconductor Optoelectronics, 2024, 45(3): 469

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    Paper Information

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    Received: Dec. 25, 2023

    Accepted: --

    Published Online: Oct. 15, 2024

    The Author Email:

    DOI:10.16818/j.issn1001-5868.2023122501

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