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智能门禁报警系统的仿真应用 被引量：1

Simulation Application of Intelligent Gateway-Alarm System
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摘要 研究基于人脸识别仿真应用的智能建筑门禁报警系统。阐述了系统结构和设计。
作者 陈彪 吴成东 郑君刚
机构地区 沈阳建筑大学理学院信息科学与控制学院
出处 《电子产品世界》 2009年第10期40-43,共4页 Electronic Engineering & Product World
基金 建设部科研基金项目(2007-K03-04)
关键词 智能门禁 人脸识别 模块操作 仿真应用
分类号 TP277 [自动化与计算机技术—检测技术与自动化装置] TP391.9 [自动化与计算机技术—计算机应用技术]
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参考文献10

  • 1陈彪,吴成东,郑君刚.基于RBF网络和贝叶斯分类器融合的人脸识别方法[J].电子产品世界,2009,16(2):41-44. 被引量：2
  • 2Hu J S, Su T M, Jeng S C. Robust Background Subtraction with Shadow and Highlight [C]. Removal for Indoor Surveillance Intelligent Robots and System, 2006 IEEE/RSJ International Conference on Oct. 2006: 4545- 4550.
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  • 5Cucchiara R, Grana C, Prati A. Computer vision system for in-house video surveillance vision[J]. Image end Signal Processing, IEEE Proceedings, 2005,152: 242-249.
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  • 9Er M J, Wu S Q, Lu J W, et al. Face recognition with radial basis function (RBF) neural networks Neural Networks, IEEE Transactions 2002,13(3): 697-710.
  • 10Yang F, 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.

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
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  • 10FAN YANG, MICHEL PAINDAVOINE. 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.

共引文献48

同被引文献9

  • 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
  • 2Yang F,Paindavoine M.Implementation of an RBF Neural Network on Embedded Systems Real-Time Face Tracking and ldentity 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 fof Recognition[J].Pattern Reoognition,2003.36(3):649-655.
  • 4Cucchiara R.Grana C.Prai A.Computer Vision system for in-house video surveillance vision[J].Image and Signal Processing,IEEE Proceedings,2005,152:242-249.
  • 5Gao D.Zhen Tong Z.Fuzzily modular single-laver RNF neural networks for solving large-scale classification problems[C].IEEE International Conference On Fuzzy Systems,2005:1080-1085.
  • 6Oyang Y J,Hwang S C,Ou Y Y,et al.Data classification with radial basis function networks based on a novel kernel density estimation algorithm[J].IEEE Transactions on Neural Networks 2005,16(1):225-236.
  • 7Wu C D,Zhang C B.Detecting and Locating Method of Human Face in Driver Fatigue Surveillance[J].Journal of Shenyang Jianzhu University(Natural Science),2009,25(2):386-389.
  • 8Meng J E,Wu S Q,Lu J W,et al.Face recognition with radial basis function(RBF) neural networks Neural Networks[J].IEEE Transactions,2002,13(3):697-710.
  • 9陈彪,吴成东,郑君刚.基于RBF网络和贝叶斯分类器融合的人脸识别方法[J].电子产品世界,2009,16(2):41-44. 被引量：2

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电子产品世界
2009年 第10期

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