摘要
提出了一个用于可感知人—机界面系统的快速且鲁棒性强的人脸提取和跟踪算法。算法分两步:首先利用皮肤颜色过滤法和背景去除技术提取出类似皮肤的区域;再利用区域填充和图像分析技术将人的面部分割出来。实验结果证明了此算法的可行性和实时性。
As a first step towards a perceptual human computer interface,an effective and robust face tracking algorithm has been proposed to locate and track the user's face in video sequence.The algorithm relies on a two- step process in which skin- like regions are first segmented by using skin color filter together with the background removal technique.Then the face detection is performed on the segmented binary image by utilizing region filling processing and image analysis technique.The experiment results have demonstrated the feasibility and near real- time performance of the proposed algorithm.
出处
《计算机应用研究》
CSCD
北大核心
2004年第10期139-140,共2页
Application Research of Computers
关键词
可感知用户界面
图像分割
实时人脸跟踪
区域标记
特征抽取
Perceptual User Interface
Image Segmentation
Real- time Face Tracking
Region Labeling
Feature Extraction