Real-time vehicle recognition using local feature extraction

被引：3

作者：

Hwang, W ^{[1
]}

Ko, H ^{[1
]}

机构：

[1] Korea Univ, Dept Elect Engn, Sungbuk Ku, Seoul 136701, South Korea

来源：

ELECTRONICS LETTERS | 2001年 / 37卷 / 07期

关键词：

D O I：

10.1049/el:20010282

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel feature extraction method based on local textures of image for real-time vehicle recognition tasks is proposed. In particular. feature vectors are extracted from judicious combinations of partitioning and overlapping image blocks with a view to reducing cardinality while retaining sufficient feature information for effective recognition. Experimental results are presented that show a reduction in computational load of 80% and robustness to illumination and noise can be achieved.

引用

页码：424 / 425

页数：2

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