Image Understanding and Computer Vision | Views : 0 下载量: 114 CSCD: 0
  • Export

  • Share

  • Collection

  • Album

    • 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:30 September 2024

      Published:16 May 2025

    • DOI: 10.11834/jig.240152     

    移动端阅览

  • 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.
  •  
  •  
Alert me when the article has been cited
提交

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
Wu Wei 沈阳大学信息工程学院
Zhang Yuan 沈阳大学信息工程学院
Lin Sen 沈阳理工大学自动化与电气工程学院
Chen Xiai 中国科学院沈阳自动化研究所

相关机构

Shenyang Institute of Automation, Chinese Academy of Sciences
School of Automation and Electrical Engineering, Shenyang Ligong University
School of Information Engineering, Shenyang University
School of Mechanical and Power Engineering, Nanjing Tech University
Department of Forensic Science, Jiangsu Police Institute
0