Motion Key frame Extraction Based on Grey Wolf Optimization Algorithm

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...

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Bibliographic Details
Main Authors: Zhang Yi, Li Juan, Zhang Min
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201823203032
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spelling doaj-1fa432bdf025490cad84fbe7c985af502021-02-02T01:49:22ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012320303210.1051/matecconf/201823203032matecconf_eitce2018_03032Motion Key frame Extraction Based on Grey Wolf Optimization AlgorithmZhang YiLi JuanZhang MinIn 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.https://doi.org/10.1051/matecconf/201823203032
collection DOAJ
language English
format Article
sources DOAJ
author Zhang Yi
Li Juan
Zhang Min
spellingShingle Zhang Yi
Li Juan
Zhang Min
Motion Key frame Extraction Based on Grey Wolf Optimization Algorithm
MATEC Web of Conferences
author_facet Zhang Yi
Li Juan
Zhang Min
author_sort Zhang Yi
title Motion Key frame Extraction Based on Grey Wolf Optimization Algorithm
title_short Motion Key frame Extraction Based on Grey Wolf Optimization Algorithm
title_full Motion Key frame Extraction Based on Grey Wolf Optimization Algorithm
title_fullStr Motion Key frame Extraction Based on Grey Wolf Optimization Algorithm
title_full_unstemmed Motion Key frame Extraction Based on Grey Wolf Optimization Algorithm
title_sort motion key frame extraction based on grey wolf optimization algorithm
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description 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.
url https://doi.org/10.1051/matecconf/201823203032
work_keys_str_mv AT zhangyi motionkeyframeextractionbasedongreywolfoptimizationalgorithm
AT lijuan motionkeyframeextractionbasedongreywolfoptimizationalgorithm
AT zhangmin motionkeyframeextractionbasedongreywolfoptimizationalgorithm
_version_ 1724310973123133440

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