改进肤色模型和光流算法的人脸检测方法

Improved Skin Color Model and Optical Flow Algorithm for Face Detection

人脸检测具有很高的实际应用价值,例如在身份识别、视频监控等领域的应用也越来越广泛,其检测的方法多种多样。为解决视频序列中的人脸检测问题,总结了肤色模型和光流算法的优缺点,融合二者优势,提出了改进的基于肤色模型和光流算法的人脸检测算法。该方法在一定程度上解决了人脸旋转、部分遮挡、表情变化和光照对人脸检测和跟踪的影响,具有较强的鲁棒性。

Face detection has high practical application value,such as identity recognition and video monitoring,which are becoming increasingly widespread.The detection methods are diverse,and the issue of face detection in video sequences is mainly discussed and solved here.Firstly,the advantages and disadvantages of skin color model and optical flow algorithm are summarized,and then their advantages are fused to provide an improved face detection algorithm based on skin color model and optical flow algorithm.Through this method,the effects of facial rotation,partial coverage,facial expression change and illumination on facial detection and tracking are solved to some extent,which shows its strong robustness.