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一种基于静态和动态特征的步态识别新方法 被引量：7

New Gait Recognition Method Based on Static and Dynamic Features
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摘要 最近,利用步态对个人身份进行识别受到越来越多生物识别技术研究者的重视。步态能量图(Gait EnergyImage,GEI)是一种有效的步态表征方法。把步态能量图分解为身体相关能量图(Body-Related GEI,BGEI)、步态相关能量图(Gait-Related GEI,GGEI)、身体步态相关能量图(Body-Gait-Related GEI,BGGEI)3部分,利用傅立叶描绘子对身体相关能量图(BGEI)、身体步态相关能量图(BGGEI)进行描述,利用Gabor小波提取步态相关能量图(GGEI)的幅值特征,分别研究了它们的识别能力,并在Rank层和Score层融合步态相关能量图(GGEI)、身体步态相关能量图(BGGEI)这两部分信息用于步态识别。该算法在CASIA数据库上进行的试验取得了较高的正确识别率。 Recently,gait recognition for individual identification has received much increased attention from biometrics researchers.Gait Energy Image（GEI） is an efficient represent method.We divided GEI into three parts—Body related GEI（BGEI）,Gait related GEI（GGEI）,Body Gait related GEI（BGGEI）.The fourier descriptor was used to describe the BGEI and BGGEI.The Gabor wavelet was used to the GGEI to get the magnitude feature,research their recognition ability respectively,fusion the two parts of Gait-Related GEI and Body-Gait-Related GEI in rank level and score level to gait recognition.The algorithm was tested in the CASIA datasets and gained high correct recognition rates.
作者 刘志勇 冯国灿 邹小林
机构地区 中山大学数学与计算科学学院 广东省计算科学重点实验室 深圳职业技术学院工业中心 肇庆学院数学与信息科学学院
出处 《计算机科学》 CSCD 北大核心 2012年第4期261-264,共4页 Computer Science
基金 国家自然科学基金项目(60975083 31100958 U0835005)资助
关键词 步态能量图 静态特征 动态特征 融合 步态识别 Gait energy image Static feature Dynamic feature Fusion Gait recognition
分类号 TP391.3 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献18

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二级参考文献135

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共引文献46

同被引文献61

  • 1王科俊,刘丽丽,贲晛烨.基于步态识别的智能监控系统研究[J].计算机应用,2009,29(2):386-388. 被引量：9
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  • 3王科俊,侯本博.步态识别综述[J].中国图象图形学报,2007,12(7):1152-1160. 被引量：44
  • 4刘先康,高梅国,傅雄军.适用于组合特征识别的最近邻模糊分类器[J].电光与控制,2007,14(5):127-129. 被引量：6
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  • 8Cutting J,Kozlowski L.Recognizing friends by their walk:Gait perception without familiarity cues[J].Bulletin of the Psychonomic Society,1977,9(5):353-356.
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  • 10Boulgouris N V,Hatzinakos D,Plataniotis K N.Gait recogni-tion:a challenging signal processing technology for biometric identification[J].IEEE Signal Processing Magazine,2005,22:78-90.

引证文献7

二级引证文献39

计算机科学
2012年 第4期

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