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

  • Published:2016-11 Issue: Volume:83 Page:32-41
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Adnan Salih Al Alwani,Youssef Chahir

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference41 articles.

1. Human activity recognition from 3d data: a review;Aggarwal;Pattern Recogn. Lett.,2014

2. 3-d skeleton joints-based action recognition using covariance descriptors on discrete spherical harmonics transform;Al Alwani,2015

3. A quantitative assessment of using the kinect for xbox360 for respiratory surface motion tracking;Alnowami,2012

4. Distance matrices as invariant features for classifying mocap data;Antônio,2012

5. A real-time system for motion retrieval and interpretation;Barnachon;Pattern Recogn. Lett.,2013

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1. View Invariant Human Action Recognition using Surface Maps via convolutional networks;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

2. A convolutional autoencoder model with weighted multi-scale attention modules for 3D skeleton-based action recognition;Journal of Visual Communication and Image Representation;2023-04

3. Corrigible Action Recognition System through Motion-Sphere Trajectories for Standard Metaverse Actions;2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct);2022-10

4. A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset;Sensors;2022-09-09

5. Early Late Fusion of features for Skeleton based Human Action Recognition using Adaptive Kernel Learning;2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT);2022-01-20
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