A face tracking method using feature point tracking
Guo-Shiang Lin, Tung-Sheng Tsai · 2012
In the paper, we proposed a face tracking method using feature point tracking. The proposed face tracking method is composed of two parts: face detection and face tracking. To evaluate the proposed method, several videos containing different kinds of face movement are captured by using low-cost webcam. Experimental results show that our proposed method can track facial regions well. In addition, the detection rate of our face tracking is more than 91%. These results demonstrate that our proposed method can achieve face tracking in real-world noisy videos.