Laser & Optoelectronics Progress, Volume. 59, Issue 8, 0815011(2022)

Head Detection Based on RDM-YOLOv3

Junwen Liu1, Yongjun Zhang1、*, Zhi Li1, Yong Zhao2, Xinyu Ran1, Zhongwei Cui3, and Mengjia Niu1
Author Affiliations
  • 1Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, Guizhou University, Guiyang , Guizhou 550025, China
  • 2School of Information Engineering, Peking University Shenzhen Graduate School, Shenzhen , Guangdong 518055, China
  • 3Big Data Science and Intelligent Engineering Research Institute, Guizhou Education University, Guiyang , Guizhou 550018, China
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    References(27)

    [1] Li N, Wu Y Y, Liu Y et al. Pedestrian attribute recognition algorithm based on multi-scale attention network[J]. Laser & Optoelectronics Progress, 58, 0410025(2021).

    [4] Yu C Y, Xu Y, Gou L S et al. Crowd counting based on single-column deep spatiotemporal convolutional neural network[J]. Laser & Optoelectronics Progress, 58, 0810011(2021).

    [5] Zhang T, Zhang L. Multiscale feature fusion-based object detection algorithm[J]. Laser & Optoelectronics Progress, 58, 0215003(2021).

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    Junwen Liu, Yongjun Zhang, Zhi Li, Yong Zhao, Xinyu Ran, Zhongwei Cui, Mengjia Niu. Head Detection Based on RDM-YOLOv3[J]. Laser & Optoelectronics Progress, 2022, 59(8): 0815011

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    Paper Information

    Category: Machine Vision

    Received: Jul. 30, 2021

    Accepted: Aug. 24, 2021

    Published Online: Apr. 11, 2022

    The Author Email: Zhang Yongjun (ljw778@126.com)

    DOI:10.3788/LOP202259.0815011

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