Human Action Detection Based on Multimodal Feature Fusion for Human-Robot Collaborative Assembly-Reference-Cited by-同舟云学术

Human Action Detection Based on Multimodal Feature Fusion for Human-Robot Collaborative Assembly

Published:2023-08-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
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Author:

Ba Mengyuan¹,Ji Zhenrui²,Liu Zhihao²,Yao Bitao³,Xu Wenjun²,Zhong Yi²

Affiliation:

1. The School of Information Engineering, Wuhan University of Technology,Hubei Key Laboratory of Broadband Wireless Communication and Sensor Networks,Wuhan,China,430070

2. School of Information Engineering, Wuhan University of Technology,Hubei Key Laboratory of Broadband Wireless Communication and Sensor Networks,Wuhan,China,430070

3. The School of Mechanical and Electronic Engineering, Wuhan University of Technology,Hubei Key Laboratory of Broadband Wireless Communication and Sensor Networks,Wuhan,China,430064

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10260321/10260291/10260516.pdf?arnumber=10260516

Reference30 articles.

1. Temporal Action Detection with Structured Segment Networks

2. STD-TR: End-to-End Spatio-Temporal Action Detection with Transformers

3. Exploring Temporal Context and Human Movement Dynamics for Online Action Detection in Videos

4. Learning to Discriminate Information for Online Action Detection: Analysis and Application

5. OadTR: Online Action Detection with Transformers

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