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A hybrid approach to keyframe extraction from motion capture data using curve simplification and principal component analysis
Author(s) -
Miura Takeshi,
Kaiga Takaaki,
Shibata Takeshi,
Katsura Hiroaki,
Tajima Katsubumi,
Tamamoto Hideo
Publication year - 2014
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22029
Subject(s) - initialization , principal component analysis , computer science , motion (physics) , component (thermodynamics) , artificial intelligence , motion capture , pattern recognition (psychology) , data mining , physics , thermodynamics , programming language
In this paper, we propose a novel method to extract keyframes from motion capture data. A hybrid approach, which combines a curve‐simplification algorithm with an initialization procedure including principal component analysis, is adopted. The developed method automatically extracts an appropriate number of keyframes at high speed without performance degradation. Experimental results prove the effectiveness of the present method. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.