| Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
|---|---|---|
| Article Number | 03032 | |
| Number of page(s) | 5 | |
| Section | Algorithm Study and Mathematical Application | |
| DOI | https://doi.org/10.1051/matecconf/201823203032 | |
| Published online | 19 November 2018 | |
Motion Key frame Extraction Based on Grey Wolf Optimization Algorithm
College of Information Engineering, Dalian University, Dalian Liaoning 116622, China
a Corresponding author: JL0071993@163.com
In order to extract the key frames more effectively, we propose a key frame extraction method for human motion sequences based on Grey Wolf Optimization (GWO) algorithm. The fitness function is defined with the minimum reconstruction error and the optimal compression rate. The social hierarchy of grey wolves and hunting strategy are simulated to search key frames. Experimental results show that the proposed method can not only maintain the consistency of key frames between similar human motion sequences, but also effectively compress and summarize the original motion data. Under the same compression ratio, the reconstruction error is the minimum.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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