Improved Skin Color Model and Optical Flow Algorithm for Face Detection
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.
skin color modelillumination compensationoptical flow algorithmface detectionfusion algorithm
NETL
NSTL
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