SCALE-VARIANT TRAFFIC SIGN DETECTION

被引：0

作者：

Wang, Sijuan ^{[1
]}

You, Zhiqiang ^{[1
]}

机构：

[1] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China

来源：

FOURTH INTERNATIONAL WORKSHOP ON PATTERN RECOGNITION | 2019年 / 11198卷

关键词：

scale variation; support vector machine (SVM); depth-size ratio; traffic sign detection; RECOGNITION; VIDEO;

D O I：

10.1117/12.2540462

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Accurate detection of traffic signs is vital in many applications, such as driving assistance systems and autonomous vehicles. However, since urban scenes are often cluttered with confusing objects, the signs may appear scale-variant (from large to small sizes) in a single image or image sequences of traffic scenes, when autonomous vehicles are moving fast; traffic signs therefore need to be detected early and accurately when they appear small in the images, and tracked for timely recognition and decision.

引用

页数：5

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