A Multi-Stream Sequence Learning Framework for Human Interaction Recognition-Reference-Cited by-同舟云学术

A Multi-Stream Sequence Learning Framework for Human Interaction Recognition

Published:2022-06 Issue:3 Volume:52 Page:435-444
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Haroon Umair¹^ORCID,Ullah Amin²^ORCID,Hussain Tanveer¹^ORCID,Ullah Waseem¹^ORCID,Sajjad Muhammad³,Muhammad Khan⁴^ORCID,Lee Mi Young¹^ORCID,Baik Sung Wook¹^ORCID

Affiliation:

1. Sejong University, Seoul, South Korea

2. CORIS Institute, Oregon State University, Corvallis, OR, USA

3. Color and Visual Computing Lab, Department of Computer Science, Norwegian University of Science and Technology, Gjøvik, Norway

4. Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab), School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul, South Korea

Funder

National Research Foundation of Korea

Korea government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/9776547/09695398.pdf?arnumber=9695398

Reference54 articles.

1. Spatial-temporal dual-actor CNN for human interaction prediction in video

2. DTW-CNN: Time series-based human interaction prediction in videos using CNN-extracted features;afrasiabi;Vis Comput,2019

3. A Hierarchical Representation for Future Action Prediction

4. Learning Human Interaction by Interactive Phrases

5. Long-term recurrent convolutional networks for visual recognition and description

Cited by 11 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. Contextual Visual and Motion Salient Fusion Framework for Action Recognition in Dark Environments;Knowledge-Based Systems;2024-09

2. PAR-Net: An Enhanced Dual-Stream CNN–ESN Architecture for Human Physical Activity Recognition;Sensors;2024-03-16

3. Human–robot collaborative interaction with human perception and action recognition;Neurocomputing;2024-01

4. Enhancing Short-Term Electrical Load Forecasting for Sustainable Energy Management in Low-Carbon Buildings;Sustainability;2023-12-15

5. Efficient Fire Detection with E-EFNet: A Lightweight Deep Learning-Based Approach for Edge Devices;Applied Sciences;2023-12-04