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基于踝关节轨迹的身份识别算法 被引量：5

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摘要 步态识别相对于其他的生物特征具有诸多优点。本文通过跟踪脚踝得到其运动轨迹,计算出步态特征的相关信息,并以此为基础,进行了动态参数的识别算法研究。在中科院的NLPR数据库上进行了大量的仿真实验。
作者 耿磊 吴晓娟 张恒
机构地区 山东大学信息科学与工程学院
出处 《电子技术应用》 北大核心 2006年第5期42-44,53,共4页 Application of Electronic Technique
关键词 生物特征识别 步态识别 背景减除 速度距 路径距
分类号 TP391.41 [自动化与计算机技术—计算机应用技术] TP241 [自动化与计算机技术—检测技术与自动化装置]
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参考文献7

  • 1Nixon M,Carter J,Cunado D et al.Automatic gait recognition.In:Proceedings of BIOMETRICS personal identification in networked society,1999:231～249
  • 2James W,Stephanie D,Taylor R.Analysis and recognition of walking movements.In:International conference on pattern recognition,Quebec City,Canada,2002:315～318
  • 3Yam C Y,Nixon M S,Carter J N.Gait recognition by walking and running:A model-based approach.In:the 5th Asian conference on computer vision,Melbourne,Australia,2002:～ 25
  • 4Rawesak T,Aaron B.Gait recognition from time-normalized joint-angle trajectories in the walking plane.In:Proceedings of the 2001 IEEE Computer Society Conference,2001; 2(12):726～ 731
  • 5王亮,胡卫明,谭铁牛.基于步态的身份识别[J].计算机学报,2003,26(3):353-360. 被引量：158
  • 6Shutler J,Nixon M,Harris C.Statistical gait recognition via temporal moments.In:Proceedings of IEEE southwest symposium on image analysis and interpretation,Austin,Texas,2000:291～295
  • 7Phillips J,Moon H,Rizvi S et al.The FERET evaluation methodology for face recognition algorithms.IEEE Transactions on Pattern Analysis and Machine Intelligence,2000; 22(10):1090～1104

二级参考文献21

  • 1Wang L, Hu W, Tan T. Recent developments in human motion analysis. Pattern Recognition,2003,36(3):585～601
  • 2Phillips J, Moon H, Rizvi S, Rause P. The FERET evaluation methodology for face recognition algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(10): 1090～1104
  • 3Jain A, Bolle R, Pankanti S. Biometrics: Personal Identification in Networked Society. Boston:Kluwer Academic Publishers, 1999
  • 4Nixon M, Carter J, Cunado D, Huang P, Stevenage S. Automatic gait recognition. In: Proceedings of BIOMETRICS Personal Identification in Networked Society, 1999. 231～249
  • 5Niyogi S, Adelson E. Analyzing and recognizing walking figures in XYT. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Seattle, USA, 1994. 469～474
  • 6Cunado D, Nixon M, Carter J. Using gait as a biometric, via phase-weighted magnitude spectra. In: Proceedings of International Conference on Audio- and Video-based Biometric Person Authentication, Crans-Montana, Switzerland, 1997. 95～102
  • 7Little J, Boyd J. Recognizing people by their gait: The shape of motion. Journal of Computer Vision Research, 1998, 1 (2): 2～32
  • 8Murase H, Sakai R. Moving object recognition in eigenspace representation: Gait analysis and lip reading. Pattern Recognition Letters, 1996, 17: 155～162
  • 9Huang P, Harris C, Nixon M. Human gait recognition in canonical space using temporal templates. Vision Image and Signal Processing, 1999, 146 (2): 93～100
  • 10Shutler J, Nixon M, Harris C. Statistical gait recognition via temporal moments. In: Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation, Austin, Texas, 2000. 291～295

共引文献157

同被引文献47

引证文献5

二级引证文献15

电子技术应用
2006年 第5期

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