Semiconductor Optoelectronics, Volume. 45, Issue 3, 469(2024)
Low-power Face Detection Acceleration System Based on theZynq Platform
[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.
Get Citation
Copy Citation Text
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
Category:
Received: Dec. 25, 2023
Accepted: --
Published Online: Oct. 15, 2024
The Author Email: