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基于退火粒子群优化的单目视频人体姿态分析方法

DOI: 10.3724/SP.J.1004.2012.00732, PP. 732-741

Keywords: 姿态分析,主成分分析,模拟退火,粒子群优化

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Abstract:

?提出一种基于退火粒子群优化(Simulatedannealingparticleswarmoptimism,SAPSO)的单目视频人体姿态分析方法.该方法具有以下特点:首先,利用运动捕获数据采用主成分分析方法(Principlecomponentanalysis,PCA)得到更能反映人体运动本质的姿态紧致空间,并在此低维空间中进行姿态分析,提高了姿态分析的准确性和效率;其次,将粒子群优化应用到姿态分析中,并提出退火粒子群优化姿态分析方法,该方法具有良好的收敛性和全局最优能力;再次,基于退火粒子群优化姿态分析方法,实现了基于单目视频的人体姿态估计和跟踪.实验结果表明,本文方法不仅具有良好的计算效率,同时具有良好的收敛性和全局搜索能力,能准确分析单目视频中的人体姿态.

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