The System of Face Detection Based on OpenCV

被引：0

作者：

Fan, Xianghua ^{[1
]}

Zhang, Fuyou ^{[1
]}

Wang, Haixia ^{[1
]}

Lu, Xiao ^{[1
]}

机构：

[1] Shandong Univ Sci & Technol, Key Lab Robot & Intelligent Technol Shandong Prov, Qingdao 266590, Peoples R China

来源：

PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2012年

关键词：

Face detection; AdaBoost algorithm; OpenCV; Timer; Dual-thread; IMAGES;

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：

Face detection technology has widely attracted attention due to its enormous application value and market potential, such as face recognition and video surveillance system. Real-time face detection not only is one part of the automatic face recognition system but also is developing an independent research subject. So, there are many approaches to solve face detection. Here the modified AdaBoost algorithm based on OpenCV is presented, and experiments of real-time face detecting are also given through two methods of timer and dual-thread. The result shows that the method of face detection with dual-thread is simpler, smoother and more precise.

引用

页码：648 / 651

页数：4

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