Motion Key frame Extraction Based on Grey Wolf Optimization Algorithm
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 gr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201823203032 |
| Summary: | 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. |
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| ISSN: | 2261-236X |