Multi‐dimensional data modelling of video image action recognition and motion capture in deep learning framework
Author:
Affiliation:
1. School of Physical Culture, Jiujiang UniversityJiujiang332005People's Republic of China
2. Jiujiang Maternal and Child Health HospitalJiujiang322000People's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.0588
Reference19 articles.
1. 3D skeleton‐based action recognition by representing motion capture sequences as 2D‐RGB images;Laraba S.;Comput. Animat. & Virtual Worlds,2017
2. A graph‐based approach for detecting common actions in motion capture data and videos;Panagiotakis C.;Pattern Recognit.,2018
3. Dynamic time warping in classification and selection of motion capture data;Switonski A.;Multidimens. Syst. Signal Process.,2018
4. Keep it simple and sparse: real‐time action recognition;Fanello S.R.;J. Mach. Learn. Res.,2017
5. Human Actions Analysis: Templates Generation, Matching and Visualization Applied to Motion Capture of Highly-Skilled Karate Athletes
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