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基于帧间差分与静态特征相结合的人脸跟踪方法
引用本文:杨强,黄地龙.基于帧间差分与静态特征相结合的人脸跟踪方法[J].苏州科技学院学报(工程技术版),2006,19(2):74-78.
作者姓名:杨强  黄地龙
作者单位:1. 宜宾学院,计算机科学系,四川,宜宾,644007;成都理工大学,信息工程学院,四川,成都,610059
2. 成都理工大学,信息工程学院,四川,成都,610059
摘    要:简述了近年来主要的人脸跟踪方法,提出一种基于帧间差分与静态特征相结合的人脸跟踪算法。算法利用视频图像的运动信息做帧间差分确定人脸搜索的矩形区域,利用肤色模型提取肤色区域,通过积分投影确定人脸的椭圆范围,并对矩形范围内图像做边缘提取、膨胀等处理,通过水平积分投影获得人脸特征曲线,并通过特征曲线验证椭圆范围内是否存在人脸,实现人脸自动跟踪。

关 键 词:帧间差分  肤色模型  特征曲线  人脸跟踪
文章编号:1672-0679(2006)02-0074-05
修稿时间:2006年1月12日

Face Tracking Method Based on Both Inter-frame Differential and Static Character
YANG Qiang,HUANG Di-long.Face Tracking Method Based on Both Inter-frame Differential and Static Character[J].Journal of University of Science and Technology of Suzhou:Engineering and Technology,2006,19(2):74-78.
Authors:YANG Qiang  HUANG Di-long
Abstract:The main methods of face tracking were introduced,and a new method based on both inter-frame differential and static character was put forward.The method makes inter-frame different using the movement information of video-image and obtains the face's approximately rectangle district and pick-up the complexion area with the complexion model,and distilsl the face-edge in the rectangle area.Then,the image was expanded and the level-projection was made.The character curve was used to validate the existing face in the complexion area.Consequently,automatically face tracking is realized.
Keywords:inter-frame differential  complexion model  character curve  face tracking
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