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    • Gait recognition combining deep residual and multi feature fusion

    • In the fields of traffic management and surveillance security, researchers have proposed a high-precision gait recognition method that utilizes deep residual modules and multi feature fusion techniques to effectively improve model recognition accuracy and generalization ability.
    • Vol. 30, Issue 5, Pages: 1466-1478(2025)   

      Received:11 April 2024

      Revised:2024-09-30

      Published:16 May 2025

    • DOI: 10.11834/jig.240152     

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  • Luo Yabo, Liang Xinyu, Zhang Feng, Li Cunrong. 2025. Gait recognition combining deep residual and multi feature fusion. Journal of Image and Graphics, 30(5):1466-1478 DOI: 10.11834/jig.240152.
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相关作者

LUO Yabo 武汉理工大学机电工程学院
LIANG Xinyu 武汉理工大学机电工程学院
ZHANG Feng 武汉理工大学机电工程学院
LI Cunrong 武汉理工大学机电工程学院
Ding Xinnan 安徽工程大学电气工程学院(集成电路学院);哈尔滨工程大学智能科学与工程学院
Ye Nan 中船鹏力(南京)大气海洋信息系统有限公司
Duan Xin 安徽工程大学人工智能学院
Wang Kejun 哈尔滨工程大学智能科学与工程学院;北京理工大学

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Beijing Institute of Technology
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College of Intelligent Systems Science and Engineering, Harbin Engineering University
School of Electrical Engineering (School of Integrated Circuits), Anhui University of Engineering
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