期刊文献+

基于不变矩和SVM的步态识别

Gait Recognition Based on Moment Invariant and SVM
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摘要 步态识别是生物识别领域的研究热点之一,文章首先提取步态序列图像的不变矩,并利用主成分分析法(PCA)进行特征处理,最后使用支持向量机(SVM)进行分类。通过在步态数据库上进行实验,达到了较高的识别率。 Gait Recognition is the focus of study in the field of biometrics. Higher rate of identification is got after extraction of the moment invariant of the gait sequence images, characteristic treatment with the help of PCA, classification by using SVM and experiments in the gait database.
作者 邹晶晶
机构地区 中南大学
出处 《山西科技》 2008年第5期48-49,共2页 Shanxi Science and Technology
关键词 步态识别 不变矩 支持向量机 主成分分析法 gait recognition moment invariant SVM
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