Confidence evaluation for cascade classifier in object detection

被引：0

作者：

Liu, Jin ^{[1
]}

Tao, WenBing

Zheng, Han ^{[1
]}

机构：

[1] Wuhan Univ, Sch Geodesy & Geomat, Hongshan Luoyu Rd 129, Wuhan 430079, Peoples R China

来源：

MIPPR 2011: AUTOMATIC TARGET RECOGNITION AND IMAGE ANALYSIS | 2011年 / 8003卷

关键词：

Confidence evaluation; Object detection; Cascade classifier; FACE DETECTION;

D O I：

10.1117/12.901981

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：

This paper proposed a method that can measure confidence for cascade classifier. It has great value in fusion of multi-classifier, sorting object detection results and so on. Differs from the traditional qualitative description results though using cascade classifier, this method could give a quantitative description for the results. Confidence evaluation function is constructed to calculate the confidence for the targets and the classifiers. Several experiments have been done and the results show that false alarm rate could be greatly reduced with little time cost.

引用

页数：15

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