Acta Optica Sinica, Volume. 42, Issue 14, 1415003(2022)

Occluded Pedestrian Detection Algorithm Based on Improved YOLOv3

Xiang Li1,2,3,4, Miao He1,2,3, and Haibo Luo1,2,3、*
Author Affiliations
  • 1Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, Liaoning , China
  • 2Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, Liaoning , China
  • 3Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, Liaoning , China
  • 4University of Chinese Academy of Sciences, Beijing 100049, China
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    Xiang Li, Miao He, Haibo Luo. Occluded Pedestrian Detection Algorithm Based on Improved YOLOv3[J]. Acta Optica Sinica, 2022, 42(14): 1415003

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    Paper Information

    Category: Machine Vision

    Received: Jan. 7, 2022

    Accepted: Feb. 14, 2022

    Published Online: Jul. 15, 2022

    The Author Email: Luo Haibo (luohb@sia.cn)

    DOI:10.3788/AOS202242.1415003

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