Real-time algorithm for face tracking based on mean-shift
Meibin Qi · Jisuanji yingyong yanjiu · 2008
A real-time face tracking under complex environment has significance in visual surveillance system,but one common problem to face tracking algorithms at present is their sensitivity to temporal occlusion and scale variations,which restrict them wide application.This paper proposed a real-time automatic face tracking algorithm which combined face detection and mean-shift algorithm with Kalman filter.In the experiments,the results show the proposed algorithm can track fast moving face successfully and have better robustness of occlusion.