›› 2016, Vol. 29 ›› Issue (3): 42-.

• 论文 • 上一篇    下一篇

应用于人脸自动实时跟踪的改进Struck算法

肖儿良,韩超   

  1. (上海理工大学 光电信息与计算机工程学院,上海 200093)
  • 出版日期:2016-03-15 发布日期:2016-03-18
  • 作者简介:肖儿良(1969—),男,博士。研究方向:信号采集与处理等。

Improved Struck Algorithm for Real-time Face Auto-tracking

XIAO Erliang,HAN Chao   

  1. (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
  • Online:2016-03-15 Published:2016-03-18

摘要:

传统的Struck算法在人脸跟踪系统中,需要手动实现初始化且易受环境影响。文中提出一种基于AdaBoost目标自动检测和改进的Struck人脸自动跟踪算法。从图像中提取人脸的Haar特征,采用AdaBoost算法实现人脸的检测,并自动初始化跟踪器,再依据检测得到的相邻帧目标的相似度判定跟踪目标的有效性,采用Struck算法实现人脸的连续跟踪。实验结果表明,改进的算法有效解决了部分遮挡、尺度变化、光照变化等人脸跟踪难题,且具有较高的鲁棒性与准确性。

关键词: AdaBoost, Struck, 人脸检测, 实时跟踪

Abstract:

The classic Struck algorithm is incapable of automatic tracking of the human face and easily subject to the environment interference.In the paper,the classical Struck method is improved to achieve automatic real-time face tracking by the Adabboost algorithm.Firstly,the Haar feature of the face is extracted.Then the AdaBoost algorithm is used to detect face target and initialize the Struck tracker automatically.The similarity between the detected target and the last result is computed to get the best result,with Struck tracking the face continuously.Experimental results show the improved algorithm applies in such complex environment as partial occlusion,scale variation,illumination variation with good robustness and accuracy.

Key words: AdaBoost;Struck;face detection;real time tracking

中图分类号: 

  • TP391.41