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基于神经网络的智能交通信息管理系统研究

An Intelligent Transportation Information Management System Based on ANN
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摘要 把图像处理技术和人工神经网络相结合,设计了一种基于小波神经网络的智能交通信息管理系统,给出了系统的体系结构、功能原理和设计方法。对运动目标的识别与分类,提出了一种基于改进型帧间差值检测法和基于小波神经网络的车辆类型分类算法。 An Intelligent Transportation Information Management System based on Wavelet Neural Network is realized, and its architecture & operating principle and design method are discussed. In order to detect and classify the moving objects, we present an algorithm of vehicle property auto detection and classification based on the combination of advanced inter-frame difference and wavelet neural network.
作者 葛广英
机构地区 聊城大学物理科学与信息工程学院
出处 《电视技术》 北大核心 2004年第12期83-85,共3页 Video Engineering
基金 山东科技攻关基金项目(022090107)
关键词 智能交通信息管理系统 小波神经网络 车辆检测 intelligent transportation information management system(ITIMS) wavelet network vehicle detection
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献5

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电视技术
2004年 第12期

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