In this paper, a facial feature point tracking scheme is proposed by integrating Lucas-Kanade optical flow tracking algorithm and the face alignment statistical model, DAM (direct appearance model), together in a Bayesian framework.

• 将Lucas-Kanade光流跟踪算法与人脸特征点定位的统计模型dam(direct appearance model)在Bayesian框架下结合起来；提出了视频中人脸特征点定位与跟踪的一种混合模型方法.