View Invariant Human Action Recognition using Surface Maps via convolutional networks-Reference-Cited by-同舟云学术

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View Invariant Human Action Recognition using Surface Maps via convolutional networks

Published:2023-11-01 Issue: Volume:25 Page:1-5
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
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Author:

Kumar D. Anil¹,Kishore P. V. V.²,Murthy G.V.K.³,Chaitanya T. R.⁴,Subhani SK.¹

Affiliation:

1. PACE Institute of Technology and Sciences,Department of ECE,Ongole,Andhra Pradesh,India

2. K L Deemed To be University,Department of ECE,Guntur (DT),India

3. PACE Institute of Technology and Sciences,Department of EEE,Ongole,Andhra Pradesh,India

4. PACE Institute of Technology and Sciences,Department of CSE,Ongole,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10369954.pdf?arnumber=10369954

Reference15 articles.

1. A survey on vision-based human action recognition

2. Microsoft Kinect Sensor and Its Effect

3. An Efficient Approach for Multi-view Human Action Recognition Based on Bag-of-Key-Poses

4. View invariant human action recognition using histograms of 3D joints

5. Spatiotemporal representation of 3D skeleton joints-based action recognition using modified spherical harmonics

Cited by 1 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. A Novel Symmetric Fine-Coarse Neural Network for 3D Human Action Recognition Based on Point Cloud Sequences;Applied Sciences;2024-07-20

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