Automatic Vehicle Classification Based on Video with BP Neural Networks

被引：0
|
作者：
Li, Xiaobin [1 ]
Fu, Hui [2 ]
Xu, Jianmin [1 ]
机构：
[1] South China Univ Technol, Sch Traff & Commun, Guangzhou, Guangdong, Peoples R China
[2] Guangdong Univ Tech, Sch Automat, Guangzhou, Peoples R China
来源：
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年
关键词：
automatic vehicle classification; BP neural networks; invariant moment;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The classification and statistics of the vehicles type in the road section are important parameters for the traffic management and control. The paper put forward the vehicle classification using image invariant moment and BP neural networks. First of all, road background is rebuild according to the serials images, and the background differences are used to segment vehicle region, invariant moment features are extracted for each vehicle region. The invariant moment features of vehicle will be the input of BP neural networks with three layers, and the vehicle type is classified according to the output of the BP neural networks. The test has verified the validity of this method.
引用
收藏
页码：13131 / +
页数：2
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