期刊文献+

基于智能小区安防系统的人脸识别

Face Recognition Based on Security System in Intelligent Community
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摘要 研究了基于智能小区安防报警系统的人脸识别方法的应用。通过仿真试验,将子图像个数、奇异值向量保留个数、聚类因数α、γ因数的选取进行了对比分析。基于聚类算法人脸识别的实际应用要求,试验数据为进一步研究子图像的赋值提供了有效的帮助和参数支持。 Application of face recognition based on security system in intelligent community was researched. The selection of sub-image's number, remaining vector' s number of singular value decomposition, clustering factor a and factor T through simulation experiments were compared and analyzed. In order to achieve requirement of practical appli- cation based on clustering algorithm for face recognition, research on weight factor of sub-image was offered effective assist and parameter support by experimental data.
出处 《现代建筑电气》 2011年第1期47-51,共5页 Modern Architecture Electric
基金 建设部科研基金项目(2007-K03-04) 沈阳建筑大学青年基金项目(2010119)
关键词 智能小区 安防系统 人脸识别 聚类算法 intelligent community security system face recognition clustering algorithm
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参考文献10

  • 1陈彪,吴成东,郑君刚.智能建筑中人脸识别与报警的应用[J].低压电器,2009(2):22-26. 被引量:7
  • 2YANG Fan,PAINDAVOINE M.Implementation of an RBF Neural Network on Embedded Systems:Real-Time Face Tracking and Identity Verification[J].IEEE Transaction on Neural Networks,2003,14(5):1162-1175.
  • 3TIAN Y,TAN T N,WANG Y H,et al.Do Singular Values Contain Adequate Information for Recognition[J].Pattern Recognition,2003,36(3):649-655.
  • 4洪子泉,杨静宇.基于奇异值特征和统计模型的人像识别算法[J].计算机研究与发展,1994,31(3):60-65. 被引量:49
  • 5CUCCHIARA R,GRANA C,PRATI A.Compurer Vision System for In-House Video Surveillance Vision[J].Image and Signal Processing,IEEE Proceedings,2005(152):242-249.
  • 6GAO Daqi,TONG Zhen.Fuzzily Modular Sine-Layer glRBF Neural Networks for Solving Large-Scale Classification Problems[C] //IEEE International Conference on Fuzzy Systems,2005:1080-1085.
  • 7OYANG Y J,HWANG S C,OU Y Y,et al.Data Classification with Radial Basis function Networks Based on a Novel Kemel Density Estimation Algorithm[J].IEEE Transactions on Neural Networks,2005,16(1):225-236.
  • 8WU Chengdong,ZHANG Chuanbin.Detecting and Locating Method of Human Face in Driver Fatigue Surveillance[J].Journal of Shenyang Jianzhu University:Natural Science,2009,25(2):386-389.
  • 9MENG Joo Er,WU Shiqian,LU Juwei,et al.Face Recognition with Radial Basis Function (RBF)Neural Networks Neural Networks[J].IEEE Transactions,2002,13(3):697-710.
  • 10陈彪,吴成东,郑君刚.基于人脸识别技术的智能门禁系统设计[J].现代建筑电气,2010,1(4):1-5. 被引量:4

二级参考文献16

  • 1洪子泉,杨静宇.基于奇异值特征和统计模型的人像识别算法[J].计算机研究与发展,1994,31(3):60-65. 被引量:49
  • 2HONG Z Q. Algebraic Feature Extraction of Image Recognition[ J ]. Pattern Recognition, 1991,24 (3) : 211-219.
  • 3MOGHADDAM B, JEBARA T, PENTLAND A. Bayesian Face Recognition [ J ]. Pattern Recognition, 2000( 33 ) :1771-1782.
  • 4Meng Joo Er, WU Shiqian, LU Juwei, et al. Face Recognition with Radial Basis Function(RBF) Neural Networks [ J ] IEEE Transactions,2002,13 ( 3 ) : 697- 710.
  • 5YANG Fan, Paindavoine M. Implementation of an RBF Neural Network on Embedded Systems: Real- Time Face Tracking and Identity Verification [J]. IEEE Transactions on Neural Networks, 2003, 14 (5) : 1162-1175.
  • 6WANG Xiaogang, TANG Xiaoou. Bayesian Face Recognition Based on Gaussian Mixture Models Pattern Recognition[ C]//Proceedings of the 17th International Conference,2004(4) :142-145.
  • 7Tian Y, Tan T N, Wang Y H, et al. Do Singular Values Contain Adequate Information for Recognition [ J]. Pattern Recognition, 2003, 36 (3) : 649-655.
  • 8ZHAO W Y, CHELLAPPA R, PHILLIPS P J, et al. Face Recognition: A Literature Survey [ J ]. ACM Computing Survey, 2003,35 (4) :399-458.
  • 9DUBA R O. Pattern Classification, Second Edition [ M]. John Wiley & Sons,Inc., 2001.
  • 10CHELLAPPA R, WILSON C L. Human and Machine Recognition of Faces: A Survey [ C ]//Proc. of the IEEE Transactions on Image,1995,83 (5) :705-740.

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