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步态识别的特征提取综述 被引量：3

A Survey of Feature Extraction on Gait Recognition
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摘要 随着国内外对社会安全和反恐的日益重视,生物认证技术开始受到越来越多的重视.其中,在远程监控中具有明显优势的步态识别日益得到关注.然而,由于步态识别存在诸多的困难,在现阶段仍未形成实用性的方法和理论框架,主要的难点表现在特征提取上.从特征提取方面着手综述了已有的工作,总结了各个方法的优缺点,并探讨了潜在的问题和改进.
作者 陈昌由 张军平
机构地区 复旦大学计算机科学与工程系 上海市智能信息处理重点实验室
出处 《计算机研究与发展》 EI CSCD 北大核心 2007年第z2期361-365,共5页 Journal of Computer Research and Development
基金 国家自然科学基金项目(60635030,60505002)
关键词 步态识别 特征抽取 分类
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献17

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二级参考文献21

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共引文献157

同被引文献34

  • 1赵黎丽,侯正信.步态识别问题的特点及研究现状[J].中国图象图形学报,2006,11(2):151-161. 被引量：16
  • 2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
  • 3Ekincl Murat, Gedikli Eyup. Silhouette based human motion detection and analysis for real-time automated video surveillance [J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2003, 25(12): 1505-1518
  • 4Cunado D, Nixon M S, Carter J. Using gait as a biometric, via phase-weighted magnitude spectral [C]//Audio and Video Based Biometric. Berlin: Springer, 1997
  • 5Wang L, Tan T N, Ning H Z, et al. Silhouette analysis based gait recognition for human identification[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2003, 12(25): 1505-1518
  • 6Wang L, Tan T N, Hu W M, et al. Automatic gait recognition based on statistical shape analysis [J]. IEEE Transon Image Processing, 2003, 12(9): 1120-1131
  • 7BenAbdelkader Chiraz, Cutler R G, Davis L S. Gait recognition using image self-similarity[J]. EURASIP Journal on Applied Signal Processing, 2004, 4(4): 1-14
  • 8Kobayashi T, Otsu N. Action and simultaneous multipleperson identification using cubic higher order local autocorrelation [C]//Proc of the 17th Int'l Conf on Pattern Recognition. Cambridge: MIT Press, 2004
  • 9Yuuki Horita, Satoshi lto, Kenji Kaneda, et al. High precision gait recognition using a large-scale PC cluster [C]//Proc of the 3rd IFIP lnt'l Conf on Network and Parallel Computing. Tokyo:IEEE Computer Society, 2006
  • 10Ju Han, Bhanu B. Individual recognition using gait energy image (digital object identifier)[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2006, 10(2): 316-322

引证文献3

二级引证文献34

计算机研究与发展
2007年 第z2期

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