The present invention provides a method for tracking face in a video, comprising steps of taking an image sample from a video; extracting and storing a target face feature according to the image sample; dividing the video into one or more scene; and labeling one or more face matching the target face feature. Accordingly, an actor's facial expression and motion can be extracted with ease and used as training materials or subject matters for discussion.