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傅里叶变换的多视角步态识别 被引量：5

Multi-view gait recognition using Fourier transform
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摘要 步态识别作为一种全新的生物特征识别技术,通过人走路的姿势实现对个人身份的识别和认证。步态能量图将一个周期的步态组合在一起,增强了各帧的相关性,减少了噪声的干扰。对步态能量图进行傅里叶变换,利用傅里叶变换的低频分量对多个视角的步态进行识别。在CASIA数据库中进行实验,结果表明算法简单快速,取得了较好的识别效果。 Gait recognition is a new topic in the biometric technology. Human authenticates or identifies the individuals by the way they walk. Gait energy image combines frames of one gait cycle together to enhance the relevance among them, to reduce the noise interference. The Fourier transform is carried out on the gait energy image. Their low frequency components are adopted to perform multi-view gait identification. The method is applied to CASIA database. The experimental results demonstrate that the proposed method is fast and effective.
作者 刘砚秋 王旭 王玉梅 吕红
机构地区 东北大学信息学院 辽宁大学信息学院
出处 《计算机工程与应用》 CSCD 2012年第6期169-170,184,共3页 Computer Engineering and Applications
关键词 步态识别 步态能量图 傅里叶变换 多视角 gait recognition gait energy image Fourier transform multi-view
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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参考文献11

  • 1Tao D C, Li X L,Wu X D, et al.General tensor discriminant analysis and gabor features for gait recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29 (10): 1700-1715.
  • 2Boulgouris N V, Chi Z X.Human gait recognition based on matching of body components[J].Pattern Recognition, 2007,40:1763-1770.
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  • 4Boulgouris N V,Chi Z X.Gait recognition using radon transform and linear discriminant analysis[J].IEEE Transactions on Image Processing, 2007,16 ( 3 ) : 731-740.
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同被引文献47

  • 1柴艳妹,赵荣椿.一种新的基于区域特征的快速步态识别方法[J].中国图象图形学报,2006,11(9):1260-1265. 被引量：9
  • 2薛召军,李佳,明东,万柏坤.基于支持向量机的步态识别新方法[J].天津大学学报,2007,40(1):78-82. 被引量：15
  • 3LU J,TAN Y. Uncorrelated discriminant simplex analysis for view -in- variant gait signal computing [ J ]. Pattern Recognition Letters, 2010, 31 (5) : 382-393.
  • 4BASHIR K,XIANG T,GONG S. Gait recognition without subject cooper- ation[J]. Pattern Recognition Letters, 2010, 31 (13) : 2052-2060.
  • 5LIU N,LU J,TAN Y P. Joint subspace learning for view-invariant gait recognition [ J ]. IEEE Signal Processing Letters, 2011, 18 ( 7 ) : 431--434.
  • 6KUMAR H P. NAGENDRASWAMY H S. Gait recognition based on symbolic representation [ J ]. International Journal of Machine Intelli- gence, 2011,3(4) : 295-301.
  • 7ROY A, SURAL S, MUKHERJEE J. Gait recognition using pose kinemat- ics and pose energy image [ J ]. Signal Processing, 2012, 92 (3): 780-792.
  • 8ARIYANTO G,NIXON M S. Model-based 3D gait biometrics[ J]. In- ternational Joint Conference on Biometrics, 2011,34 ( 3 ) : 11-13.
  • 9SIVAPALAN S,CHEN D, DENMAN S, et al. Gait energy volumes and frontal gait recognition using depth images [ J ]. International Joint Con- ference on Biometrics, 2011, 32(2) : 1-6.
  • 10SURAL R S, MUKHERJEE J. Gait recognition using pose kinematics and pose energy image[J]. Signal Processing, 2012, 92(3) : 780-792.

引证文献5

二级引证文献22

计算机工程与应用
2012年 第6期

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