A neural network based approach for the vehicle classification

被引：18

作者：

Goyal, Anshul ^{[1
]}

Verma, Brijesh ^{[1
]}

机构：

[1] Univ Cent Queensland, Rockhampton, Qld 4702, Australia

来源：

2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN IMAGE AND SIGNAL PROCESSING | 2007年

关键词：

vehicle image classification; neural networks; pattern classification;

D O I：

10.1109/CIISP.2007.369173

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a neural network based approach for vehicle classification. The proposed vehicle classification approach extracts various features from a vehicle image, normalises and classifies them into one of the known classes. It is based on structural features and a direct solution training method. The preliminary experiments on training and testing of 4 types of vehicles patterns were conducted. The experimental results are very promising and demonstrate the effectiveness and usefulness of the proposed approach.

引用

页码：226 / 231

页数：6

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