Real-time Face Tracking Algorithm Based on Adaboost and Improved Camshift

被引：0

作者：

Li, Yao-Hua ^{[1
]}

You, Feng ^{[1
]}

Chen, Kang ^{[1
]}

Huang, Ling ^{[1
]}

Xu, Jian-Min ^{[1
]}

机构：

[1] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou, Guangdong, Peoples R China

来源：

2015 INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND INFORMATION SYSTEM (SEIS 2015) | 2015年

关键词：

Haar-like Feature; Cascade Classifier; Face Detection; Camshift;

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：

This study is conducted to overcome shortages of traditional face tracking algorithm such as can't conduct automatic tracking, bad robustness in the tracking procedure, and fails when occlusion or skin-color interference occurs. For this purpose, we propose an improved Camshift algorithm to solve the problems above, and improve the performance of our system by introducing an extended Haar-like feature based Adaboost algorithm. This paper presents a novel tracking method for face tracking and detection, experimental results show that this method has good real-time performance, and performed well when occlusion, tilt, or skin-color interference occurs.

引用

页码：67 / 74

页数：8

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