Skeleton‐based attention‐aware spatial–temporal model for action detection and recognition-Reference-Cited by-同舟云学术

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Skeleton‐based attention‐aware spatial–temporal model for action detection and recognition

Published:2020-04-07 Issue:5 Volume:14 Page:177-184
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Cui Ran¹²^ORCID,Zhu Aichun³,Wu Jingran²,Hua Gang¹

Affiliation:

1. School of Information and Control EngineeringChina University of Mining and TechnologyXuzhou221008People's Republic of China

2. Department of Information and Electrical EngineeringXuhai College, China University of Mining and TechnologyXuzhou221008People's Republic of China

3. School of Computer Science and TechnologyNanjing Tech UniversityNanjing211800People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2019.0751

Reference41 articles.

1. A survey on vision-based human action recognition

2. Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier

3. Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions

4. Real-Time Action Recognition With Deeply Transferred Motion Vector CNNs

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

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1. Localization and recognition of human action in 3D using transformers;Communications Engineering;2024-09-03

2. Semantics-enhanced early action detection using dynamic dilated convolution;Pattern Recognition;2023-08

3. Actions as points: a simple and efficient detector for skeleton-based temporal action detection;Machine Vision and Applications;2023-03

4. Skin Cancer Detection and Classification Based on Deep Learning;2022 International Conference on Cyber Resilience (ICCR);2022-10-06

5. Intelligent Correction Method of Shooting Action Based on Computer Vision;Computational Intelligence and Neuroscience;2022-07-11

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