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基于小波分析和RBF神经网络的电梯乘客识别系统
引用本文:朱春明.基于小波分析和RBF神经网络的电梯乘客识别系统[J].计算机测量与控制,2006,14(7):915-917.
作者姓名:朱春明
作者单位:广东省特种设备检测院,广东,广州,510655
摘    要:根据现代电梯工业发展的需要,提出了一个基于小波分析和RBF神经网络的电梯乘客识别系统;通过分析乘客的人脸图像,实现对乘客的身份、表情和姿势的识别,仿真结果表明,该系统对乘客的身份有较高的识别率。

关 键 词:小波分析  RBF神经网络  电梯乘客识别系统
文章编号:1671-4598(2006)07-0915-03
收稿时间:2006-01-23
修稿时间:2006-03-09

Passenger Identity Recognition System of Elevator Based on Wavelet Analysis and RBF Neural Network
Zhu Chunming.Passenger Identity Recognition System of Elevator Based on Wavelet Analysis and RBF Neural Network[J].Computer Measurement & Control,2006,14(7):915-917.
Authors:Zhu Chunming
Affiliation:Guangdong Special Equipment Inspection Institute, Guangzhou 510655, China
Abstract:According to the elevator industry development, a passenger identity recognition system based on wavelet analysis and RBF neural network is put forward. The identities, expressions and poses can be recognized by analyzing passengers face images, and the simulation gives satisfactory results in identity recognition.
Keywords:wavelet analysis  RBF neural network  passenger identity recognition system of elevator
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