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基于光流法的视频人脸特征点跟踪方法
引用本文:程远航. 基于光流法的视频人脸特征点跟踪方法[J]. 计算机与现代化, 2010, 0(7): 120-122. DOI: 10.3969/j.issn.1006-2475.2010.07.032
作者姓名:程远航
作者单位:贵州大学明德学院,贵州,贵阳,550004
基金项目:贵州大学自然科学青年基金资助项目(贵大自青基合字 
摘    要:提出一种人脸特征点跟踪方法。首先,运用ASM获取人脸的特征点,然后在选用Lucas-Kanade光流算法的基础上,将初始帧和当前帧的前一帧有机结合起来,共同作为当前帧的参考来进行特征点跟踪。实验结果表明该方法对特征点的跟踪有很好的效果。

关 键 词:光流法  ASM  人脸特征  跟踪

Face Feature Tracking Based on Optical Flow Algorithm
CHENG Yuan-hang. Face Feature Tracking Based on Optical Flow Algorithm[J]. Computer and Modernization, 2010, 0(7): 120-122. DOI: 10.3969/j.issn.1006-2475.2010.07.032
Authors:CHENG Yuan-hang
Affiliation:CHENG Yuan-hang(Mingde College of Guizhou University,Guiyang 550004,China)
Abstract:A method of face feature tracking is proposed.Firstly,face feature is got by the method of ASM.Then the Lucas-Kanade optical flow algorithms is used,the initial frame and the past frame of current frame is combined to be the feature point tracking of the current frame reference.Experimental results show that this method has good effect.
Keywords:ASM
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