Keyframe Extraction from Human Motion Capture Data Based on a Multiple Population Genetic Algorithm

Symmetry

Qiang Zhang¹  Shulu Zhang² 

[1] Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian 116622, China;

关键词: keyframe extraction;    motion capture data;    multiple population genetic algorithm;   

DOI  :  10.3390/sym6040926

来源: mdpi

【 摘 要 】

To reduce reconstruction errors during keyframe extraction and to control the optimal compression ratio, this study proposes a method for keyframe extraction from human motion capture data based on a multiple population genetic algorithm. The fitness function is defined to meet the goals of minimal reconstruction errors and the optimal compression rate, where multiple initial populations are subjected to co-evolution. The multiple population genetic algorithm considers global and local search. Experimental results showed that the algorithm can effectively extract the keyframe from motion capture data and it satisfied the desired reconstruction error.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland