Enhancing Data-Driven Algorithms for Human Pose Estimation and Action Recognition Through Simulation-Reference-Cited by-同舟云学术

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Enhancing Data-Driven Algorithms for Human Pose Estimation and Action Recognition Through Simulation

Published:2020-09 Issue:9 Volume:21 Page:3990-3999
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Ludl Dennis^ORCID,Gulde Thomas^ORCID,Curio Cristobal^ORCID

Funder

BMBF Project OFP

MoCap 4.0

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9179974/09082148.pdf?arnumber=9082148

Cited by 31 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. SynthAct: Towards Generalizable Human Action Recognition based on Synthetic Data;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Recent Advances in Nanosensors for Motion Detection;ACS Applied Electronic Materials;2024-02-15

3. NOVAction23: Addressing the data diversity gap by uniquely generated synthetic sequences for real-world human action recognition;Computers & Graphics;2024-02

4. Multi-view key information representation and multi-modal fusion for single-subject routine action recognition;Applied Intelligence;2024-02

5. Human pose evaluation based on full-domain convolution and LSTM;Applied Mathematics and Nonlinear Sciences;2023-10-17

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