J4 ›› 2009, Vol. 47 ›› Issue (6): 1246-1250.

• 计算机 • 上一篇    下一篇

动态图像中人脸的快速捕捉跟踪方法

江琦, 李谊, 李文辉, 王铎   

  1. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2009-05-26 出版日期:2009-11-26 发布日期:2010-01-07
  • 通讯作者: 李文辉 E-mail:liwh@jlu.edu.cn.

Fast Face Capturing and Tracking Method in Motion Image

JIANG Qi, LI Yi, LI Wenhui, WANG Duo   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2009-05-26 Online:2009-11-26 Published:2010-01-07
  • Contact: LI Wenhui E-mail:liwh@jlu.edu.cn.

摘要:

提出一种快速人脸跟踪方法. 首先根据模板匹配方法作人脸区域的初步定位, 然后使用支持向量机作为分类器进行最终确认, 再采用基于Mean-Shift的CamShift跟踪算法保持跟踪, 当有遮挡发生时通过Kalman滤波进行参数辨识和状态估计. 实验结果表明, 该方法具有较强的实时性、 有效性和鲁棒性.

关键词: 人脸检测, 人脸跟踪, 支持向量机, 均值漂移, 连续自适应均值漂移, 卡尔曼滤波

Abstract:

A fast face capturing and tracking method in motion image is proposed, first the face area is located according to the template matching filtering, next the SVM serves as a classifier for final confirmation, then a CamShift tracking method based on MeanShift is used to keep the tracking, and parameter identifying and state estimating are carried out through Kalman filter while occlusions take place. The method has been demonstrated to be real time, efficient and robust by experiments.

Key words: face detection, face tracking, SVM, MeanShift, CamShift, Kalman filter

中图分类号: 

  • TP391