Fast and robust face detection in video

In this paper, a fast and robust face detection method in video is introduced. To speed up, we integrate motion energy into cascade-structured classifier to reject most of the candidate windows. Motion energy representing moving extent of candidate regions can be computed efficiently with integral motion image and thus accelerates the evaluating procedure greatly. By dividing state of system into three and processing input images according to current state with different modes, we treat with special situations such as still face existence, continuously failing to detect faces and input without evident changes to get a robust system suitable for real application. Without depending on any supposed motion model, the system is out of limitation of moving patterns including speed and direction. The approach is implemented to detect faces in real situation and the speed is about 6-22 ms with a detection ratio of 99%.