Learning Temporal Attention Based Keypoint-Guided Embedding for Gait Recognition-Reference-Cited by-同舟云学术

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Learning Temporal Attention Based Keypoint-Guided Embedding for Gait Recognition

Published:2023-05 Issue:3 Volume:17 Page:689-698
ISSN:1932-4553
Container-title:IEEE Journal of Selected Topics in Signal Processing
language:
Short-container-title:IEEE J. Sel. Top. Signal Process.

Author:

Hsu Hung-Min¹^ORCID,Wang Yizhou¹^ORCID,Yang Cheng-Yen¹,Hwang Jenq-Neng¹^ORCID,Thuc Hoang Le Uyen²,Kim Kwang-Ju³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA

2. University of Science and Technology, University of Danang, Danang, Vietnam

3. Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daejeon, South Korea

Funder

Electronics and Telecommunications Research Institute

Korean government

Development of ICT Convergence Technology for Daegu-GyeongBuk Regional Industry

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/4200690/10183711/10113150.pdf?arnumber=10113150

Reference40 articles.

1. Individual recognition using gait energy image

2. Human Gait Recognition With Matrix Representation

3. On Reducing the Effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method

4. GEINet: View-invariant gait recognition using a convolutional neural network

5. On automated model-based extraction and analysis of gait

Cited by 4 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. GaitAE: A Cognitive Model-Based Autoencoding Technique for Gait Recognition;Mathematics;2024-09-08

2. Federated learning for biometric recognition: a survey;Artificial Intelligence Review;2024-07-16

3. GaitRA: triple-branch multimodal gait recognition with larger effective receptive fields and mixed attention;Multimedia Tools and Applications;2024-06-20

4. RGB-Based Gait Recognition With Disentangled Gait Feature Swapping;IEEE Access;2024

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