Multi-pose Face Detection Research based on Adaboost

被引：4

作者：

Wei Liuliu ^{[1
]}

Liu Mingyang ^{[2
]}

机构：

[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China

[2] Jilin Univ, Coll Instrumentat & Elect Engn, Changchun 130061, Jilin Province, Peoples R China

来源：

PROCEEDINGS 2016 EIGHTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION ICMTMA 2016 | 2016年

关键词：

multi-pose face detection; Adaboost; candidate face area;

D O I：

10.1109/ICMTMA.2016.104

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Adaboost is a kind of traversal image searching method, which wastes testing time seriously and should be improved. Skin color detection is used to optimize front-end detection that is relatively stable and has fast speed. In skin color detection, UCS space is used to segment image quickly. Then Adaboost algorithm is used to detect human face based on segmented skin color area. The experiment results show that proposed face detection algorithm has faster speed. Besides, it has lower false detection rate and missing detection rate than Adaboost algorithm. The proposed face detection algorithm can provide reference for design of actual face detection system to some extent.

引用

页码：409 / 412

页数：4

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