万方数据资源系统

中国公路学报
CHINA JOURNAL OF HIGHWAY AND TRANSPORT
2007 Vol.20 No.3 P.97-102

数字化期刊

基于子波能量和神经网络分类器的机动车车型识别

李京华  赵易峰  许家栋 

摘 要:为了使交通管理系统能进行可靠的机动车分类,研究了轿车、轻型越野车和货车3种机动车目标的声信号,提出了一种采用子波分解后不同尺度上声信号能量作为特征向量的特征提取算法,并设计了kNN(k近邻)分类器和改进BP神经网络分类器用于目标分类.目标识别和分类试验结果表明:所提出的特征提取算法能够很好地体现不同类型目标之间的差异,提取的特征向量稳健;设计的改进BP神经网络分类器的分类精度可达92.6%,且分类效果优于kNN分类器.
关键词:交通工程;机动车车型识别;子波尺度空间能量;BP神经网络;声信号;特征提取
分类号:U491.116 文献标识码:A

文章编号:1001-7372(2007)03-0097-06

Vehicle Type Recognition Based on Wavelet Energy and Neural Network Classifier

LI Jing-hua  ZHAO Yi-feng  XU Jia-dong 

基金项目:国防科技重点实验室基金项目(51454070204HK0320);西北工业大学科技创新基金项目(2003CR080001)
作者简介:李京华(1964),女,山西稷山人,副教授,工学博士研究生,E-mail:ljhy6331@nwpu.edu.cn.
作者单位:李京华(西北工业大学,电子信息学院,陕西,西安,710072) 
     赵易峰(西北工业大学,电子信息学院,陕西,西安,710072) 
     许家栋(西北工业大学,电子信息学院,陕西,西安,710072) 

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收稿日期:2006年8月17日

出版日期:2007年5月31日