Vehicle detection and recognition in greyscale imagery

被引：102

作者：

Matthews, ND ^{[1
]}

An, PE ^{[1
]}

Charnley, D ^{[1
]}

Harris, CJ ^{[1
]}

机构：

[1] FLORIDA ATLANTIC UNIV,DEPT OCEAN ENGN,BOCA RATON,FL 33431

来源：

CONTROL ENGINEERING PRACTICE | 1996年 / 4卷 / 04期

关键词：

vehicles; tracking applications; image recognition; classifiers; cruise control;

D O I：

10.1016/0967-0661(96)00028-7

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper details a novel two-stage vehicle detection and recognition algorithm by combining an image-processing region of interest (ROI) designator to cue a secondary recognition process implemented using principal component analysis (PCA) as input to a Multi-Layered Perceptron (MLP) classifier. Both the image-processing system and the MLP classifier have been designed for real-time implementation and data-fusion with other information sources.

引用

页码：473 / 479

页数：7

共 7 条

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