Journal of Applied Optics, Volume. 44, Issue 1, 71(2023)

Gait recognition method of infrared human body images based on improved ViT

Yanchen YANG1, Lijun YUN1,2、*, Jianhua MEI1, and Lin LU3
Author Affiliations
  • 1College of Information, Yunnan Normal University, Kunming 650500, China
  • 2Yunnan Provincial Key Laboratory of Optoelectronic Information Technology, Kunming 650500, China
  • 3Department of Equipment Information, Yunnan Tobacco Leaf Company, Kunming 650218, China
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    Figures & Tables(9)
    Examples of infrared gait in CASIA C database
    Image preprocessing results of infrared gait
    Feet gait cycle in backpack state
    Periodogram of correlation coefficient in four different states
    Gait recognition model of double channel CNN
    Dual symmetrical attention mechanism gait model
    Comparison between proposed model and ViT of same size
    Comparison between proposed model with transfer learning and other attempts in research process
    Comparison between proposed model with transfer learning and CNN model
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    Yanchen YANG, Lijun YUN, Jianhua MEI, Lin LU. Gait recognition method of infrared human body images based on improved ViT[J]. Journal of Applied Optics, 2023, 44(1): 71

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    Paper Information

    Category: Research Articles

    Received: Mar. 21, 2022

    Accepted: --

    Published Online: Feb. 22, 2023

    The Author Email: Lijun YUN (yunlijun@ynnu.edu.cn)

    DOI:10.5768/JAO202344.0102002

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