吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (2): 606-612.doi: 10.13229/j.cnki.jdxbgxb201502040

• 论文 • 上一篇    下一篇

基于思维进化算法的人脸特征点跟踪

李根，李文辉   

  1. 吉林大学 计算机科学与技术学院，长春 130012
  • 收稿日期:2013-11-22 出版日期:2015-04-01 发布日期:2015-04-01
  • 通讯作者: 李文辉(1961)，男，教授，博士生导师.研究方向:计算机图形学，数字图像处理，计算机视觉.E-mail:liwh@jlu.edu.cn
  • 作者简介:李根(1982)，男，博士研究生.研究方向:计算机视觉，数字图像处理.E-mail:genlee@sina.com
  • 基金资助:

    国家自然科学基金项目(60873147)；吉林省科技发展计划重点项目(20120305).

Facial feature tracking based on mind evolutionary algorithm

LI Gen,LI Wen-hui   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2013-11-22 Online:2015-04-01 Published:2015-04-01

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摘要：

提出了一种基于思维进化算法的人脸特征点跟踪的方法。通过提取人脸跟踪区域的尺度不变特征变换获得整体特征模版，并确定跟踪特征点，由整体特征模版的空间分布关系限定跟踪特征点的存在区域。应用思维进化算法的趋同过程和异化过程求得整体特征模版在目标帧的最优覆盖解，进一步提高跟踪特征点的限定区域的准确性，提高搜索速度和精度。引入原始特征和替代特征，使算法在复杂情况下仍能保持稳定跟踪和较快的跟踪速率。经试验，新方法能够在复杂情况下稳定跟踪95%的特征点，并保持25帧/s的跟踪速率。

关键词: 计算机应用, 思维进化算法, SIFT特征, 特征点跟踪, 特征点约束

Abstract:

A new facial feature point tracking method based on Mind Evolutionary Algorithm (MEA) was presented. The integrated feature model was formed by Scale Invariant Feature Transform (SIFT) feature in tracking region. Then the feature points were determined. The existing region of the feature points were restricted by the space distribution of the integrated feature model. The MEA was used to compute the best-case coverage solution by similartaxis procedure and dissimilation procedure in target frames. It can more precisely determine the restriction region of tracking feature points, and improve tracking precision and efficiency. The original feature and replaced feature were introduced to make the tracking steadier and faster in complicated condition. The experiment results indicate that the new method can stably track 95% feature points in complicated condition, while the tracking speed can be kept withing 25 frames per second.

Key words: computer application, mind evolutionary algorithm (MEA), SIFT feature, feature point tracking, feature point restriction

中图分类号: 

  • TP391
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