Gait-Based Person Recognition Using Arbitrary View Transformation Model

Author:

Muramatsu Daigo,Shiraishi Akira,Makihara Yasushi,Uddin Md Zasim,Yagi Yasushi

Funder

Grant-in-Aid for Scientific Research (S) through the Japan Society for the Promotion of Science

Research and Development Program for Implementation of AntiCrime and AntiTerrorism Technologies for a Safe and Secure Society

Funds for Integrated Promotion of Social System Reform and Research and Development through the Ministry of Education, Culture, Sports, Science and Technology

Japanese Government

Japan Science and Technology Agency CREST Project entitled Behavior Understanding Based on Intention-Gait Model

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 88 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Joint Person Identity, Gender and Age Estimation from Hand Images Using Deep Multi-Task Representation Learning;2024 12th International Workshop on Biometrics and Forensics (IWBF);2024-04-11

2. GaitGMT: Global feature mapping transformer for gait recognition;Journal of Visual Communication and Image Representation;2024-04

3. Enhancing 3D human pose estimation with NIR single-pixel imaging and time-of-flight technology: a deep learning approach;Journal of the Optical Society of America A;2024-02-13

4. A Novel 3D Gait Model for Subject Identification Robust against Carrying and Dressing Variations;Computers, Materials & Continua;2024

5. A Cross-view Gait Recognition Method Based On Multi-scale Feature;Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering;2023-11-17

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