摘要
在灰色理论基础上提出了一种车型自动分类识别技术。该技术分为二大部分:第一部分是测量车辆的三维信息,即完成从二维信息到三维信息的转换,获得车辆的长度、宽度和高度特征;第二部分是利用灰色关联分析对车辆进行分类识别。实验表明,与传统的识别方法相比明显提高识别速度与识别精度,且具有很好的实用性。
a kind of method on automatic vehicle classification recognition based on gray system theory is introduced. There are mainly two parts contributing this method： the flrst part is Three-dimensional measurement information of the vehicle, namely completion of the three-dimensional information from two-dimensional information conversion, obtain the length, width and height characteristics of the vehicle; the second part is the automatic vehicle classification recognition based on gray correlation degree. Compared with the traditional recognition method, the experimental results indicate that the system has high identification performance and Increase the recognition rate as well as the practical aspects.
出处
《微计算机信息》
2009年第10期289-291,共3页
Control & Automation
关键词
车型识别
灰色理论
BP神经网络
支持向量机
vehicle model recognition
gray method
BP neural network
support vector machine
