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Laser & Optoelectronics Progress, Volume. 59, Issue 8, 0811005(2022)

Infrared Human Gait Recognition Method Based on Long and Short Term Memory Network

Jianhua Mei1, Lijun Yun1,2、*, and Xiaopeng Zhu1
Author Affiliations
  • 1College of Information, Yunnan Normal University, Kunming , Yunnan 650500, China
  • 2Yunnan Provincial Key Laboratory of Optoelectronic Information Technology, Kunming , Yunnan 650500, China
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    AbstractGet PDF(in Chinese)
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    Original infrared image and human contour image after binarization. (a) Original image; (b) binarized image; (c) centered and clipped image

    Fig. 1. Original infrared image and human contour image after binarization. (a) Original image; (b) binarized image; (c) centered and clipped image

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    Proportion of each part of human body

    Fig. 2. Proportion of each part of human body

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    Gait image sequence after occlusion processing

    Fig. 3. Gait image sequence after occlusion processing

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    Gait cycle of each individual in different walking states. (a) Backpack walking; (b) normal walking; (c) fast walking; (d) slow walking

    Fig. 4. Gait cycle of each individual in different walking states. (a) Backpack walking; (b) normal walking; (c) fast walking; (d) slow walking

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    Multi-branch convolutional neural network

    Fig. 5. Multi-branch convolutional neural network

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    Standard cyclic neural network structure

    Fig. 6. Standard cyclic neural network structure

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    LSTM gait recognition model

    Fig. 7. LSTM gait recognition model

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    Comparison of recognition accuracy between CNN and LSTM

    Fig. 8. Comparison of recognition accuracy between CNN and LSTM

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    Jianhua Mei, Lijun Yun, Xiaopeng Zhu. Infrared Human Gait Recognition Method Based on Long and Short Term Memory Network[J]. Laser & Optoelectronics Progress, 2022, 59(8): 0811005

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    Paper Information

    Category: Imaging Systems

    Received: Mar. 22, 2021

    Accepted: Apr. 28, 2021

    Published Online: Apr. 11, 2022

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

    DOI:10.3788/LOP202259.0811005

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology