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    • Local spatiotemporal convolutional network for gait recognition

    • The latest research breakthrough in gait recognition technology improves recognition accuracy through local spatiotemporal convolutional networks.
    • Vol. 30, Issue 8, Pages: 2835-2850(2025)   

      Received:26 November 2024

      Revised:03 January 2025

      Published:16 August 2025

    • DOI: 10.11834/jig.240710     

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  • Ding Xinnan, Ye Nan, Duan Xin, Wang Kejun. 2025. Local spatiotemporal convolutional network for gait recognition. Journal of Image and Graphics, 30(8):2835-2850 DOI: 10.11834/jig.240710.
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相关作者

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, 南京 211100 4.安徽工程大学人工智能学院
Duan Xin 北京理工大学
Wang Kejun 哈尔滨工程大学智能科学与工程学院
Hu Zhangying 南京邮电大学通信与信息工程学院
Zhou Quan 南京邮电大学通信与信息工程学院
Chen Mingju 四川轻化工大学人工智能四川省重点实验室
Cui Jingcheng 南京邮电大学通信与信息工程学院

相关机构

CSSC Pengli (Nanjing) Atmospheric and Oceanic Information System Co., Ltd.
School of Artificial Intelligence, Anhui University of Engineering
Beijing Institute of Technology
School of communication and information engineering, Nanjing University of Posts and Telecommunications
Artificial Intelligence of Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering
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