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Mining Automatically Estimated Poses from Video Recordings of Top Athletes Cover

Mining Automatically Estimated Poses from Video Recordings of Top Athletes

International Journal of Computer Science in Sport
Volume 17 (2018): Issue 2 (December 2018)
By: R. Lienhart,  M. Einfalt and  D. Zecha  
Open Access
|Dec 2018

Authors

R. Lienhart

Multimedia Computing and Computer Vision Lab, Computer Science Department, University of Augsburg, Germany

M. Einfalt

Multimedia Computing and Computer Vision Lab, Computer Science Department, University of Augsburg, Germany

D. Zecha

Multimedia Computing and Computer Vision Lab, Computer Science Department, University of Augsburg, Germany
DOI: https://doi.org/10.2478/ijcss-2018-0005 | Journal eISSN: 1684-4769
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Language: English
Page range: 94 - 112
Published on: Dec 31, 2018
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
HUMAN POSE ANALYSIS,
HUMAN POSE MINING,
POSE MINING IN SPORTS
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2018 R. Lienhart, M. Einfalt, D. Zecha, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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