基于融合肤色模型和光流算法的人脸跟踪

Xiaogang Zhao, Yanbo Hui
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引用次数: 5

摘要

提出了一种基于肤色模型和光流的人脸检测与跟踪融合算法。采用肤色模型检测人脸,采用光流算法估计视频帧的连续性,获取人脸在帧中的位置。该方法在一定程度上解决了人脸旋转、局部遮挡、表情变化和光照对人脸检测和跟踪的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Face Tracking Based on Fusion Skin Color Model and Optical Flow Algorithm
A fusion algorithm based on skin color model and optical flow is proposed to detect and track faces. It uses skin color model to detect faces and adopts optical flow algorithm to estimate the continuity of the video frames and obtain the position of faces in the frames. Taking advantages of the algorithms, the proposed method, in some degrees, gives a solution to the effects of face rotation, partial occlusion, expression variation and illumination on face detecting and face tracking.
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