Frontal-view gait recognition using discriminative dynamics feature representations and learning-Reference-Cited by-同舟云学术

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Frontal-view gait recognition using discriminative dynamics feature representations and learning

Published:2024-01-22 Issue:01 Volume:33 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Deng Muqing¹,Zou Yi¹,Zhu Wuqiao²,Xing Mali¹,Huang Yonghui¹,Yang Jie³

Affiliation:

1. Guangdong University of Technology, School of Automation and Guangdong Key Laboratory of IoT Information Technology, Guangzhou, China

2. Guangzhou Urban Development Archives, Department of Loan and Storage, Guangzhou, China

3. Hangzhou Dianzi University, School of Automation, Hangzhou, China

Publisher

SPIE-Intl Soc Optical Eng

Reference45 articles.

1. Human gait recognition based on deterministic learning and knowledge fusion through multiple walking views

2. GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set

3. Deep Gait Recognition: A Survey

4. Multi-View Gait Image Generation for Cross-View Gait Recognition

5. Visual perception of biological motion and a model for its analysis

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