Tracking Facial Feature Points Using Kanade-Lucas-Tomasi Approach

Compared to normal methods that need to make marks on person’s face, this method can track displacements of facial feature points from frontal face video through texture information of the face. At the same time, in order to improve the method, we give the static angle and distance limitation of facial organs to the KLT（Kanade-Lucas-Tomasi） algorithm.