关键词: 人脸特征点识别, 特征点跟踪, 预测机制, Kalman滤波器

Abstract: The current research of location and tracking methods for facial feature point are poor in real-time performance because they are large in computing capacity. In this paper, an improved method based on Viola-Jones algorithm with Kalman filter prediction mechanism is presented. The current facial feature point is located by using Viola-Jones algorithm and the scope where the next feature point will appear is predicted by Kalman filter algorithm. As a result, the scope of the feature point in next frame is reduced and the locating time is shortened. Experiments show with this method the real-time performance of facial feature point location and tracking algorithm can be improved apparently while ensuring the accuracy and robustness.

Key words: facial feature point recognition, feature point tracking, prediction mechanism, Kalman filter