东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (2): 188-192.DOI: -

• 论著 • 上一篇    下一篇

一种基于相似离度匹配的人脸精确跟踪算法

张杨;叶舒帆;高立群;   

  1. 东北大学信息科学与工程学院;东北大学资源与土木工程学院;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60674021)

An algorithm for face accurate tracking based on analogue deviation matching

Zhang, Yang (1); Ye, Shu-Fan (2); Gao, Li-Qun (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China; (2) School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Zhang, Y.
  • About author:-
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摘要： 利用相似度和欧式距离系数建立了描述数据样本间近似程度的归一化综合指标相似离度,并通过灰度数据向量集的相似离度描述图像的匹配程度.将SVM人脸检测、图像灰度值相似离度匹配和跟踪模板更新三种方法结合起来,设计了基于相似离度匹配的人脸跟踪算法.算法综合考虑了图像内颜色的空间位置和值信息,具有较高的精确性.实验表明,相似离度匹配算法可以在模拟图像灰度值矩阵中寻找到和模板数据最匹配的区域;在静态和动态人脸跟踪中具有较强的抗环境干扰能力,鲁棒性强.

关键词: 相似离度, 模板匹配, 人脸跟踪, 图像, 灰度

Abstract: A normalized composite index named analogue deviation was defined to describe a degree of approximation of data samples, based on the similarity and Euclidean distance coefficient. The matchability between images of the same face can be expressed via the analogue deviation of vector sets of image grayscale data. Combining the SVM face detection and tracking template updating with the analogue deviation matching of image grayscale, a new face tracking algorithm based on analogue deviation matching was proposed taking account of both the information on color values and color's spatial positions in image, thus making the algorithm more accurate. Experimental results showed that algorithm proposed can find out the best region matchable to template data in the grayscale matrix of simulated image. In addition, the algorithm is highly robust during static or dynamic face tracking because of its strong resistance to environmental interference.

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