Traffic Sign Recognition Using Visual Feature toward Driver Assistance System

被引：0

作者：

Cao, Juan ^{[1
]}

Lou, Lu ^{[1
]}

Zhang, Yingchun ^{[1
]}

机构：

[1] Chongqing Jiaotong Univ, Coll Informat Sci & Engn, Chongqing, Peoples R China

来源：

INFORMATION AND BUSINESS INTELLIGENCE, PT II | 2012年 / 268卷

关键词：

Intelligent Transport Systems; Traffic sign recognition; Scale Invariant Feature Transform; Bag of word; CLASSIFICATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we present the basic concept of a approach for the traffic sign detection and recognition in natural scenes. The developed procedure is based on the well known Scale Invariant Feature Transform (SIFT) algorithm and the bag of word method (BoW). The method has the advantages that it is computing power and memory efficient and that it can handle pattern repetitions in the models. The results of extensive testing on real data sets shows that the presented approach detects over 90% of traffic signs correctly.

引用

页码：15 / 20

页数：6

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