Real Time Facial Feature Points Tracking with Pyramidal Lucas-Kanade Algorithm
F. Abdat, Choubeila Maaoui, Alain Pruski · 2008
In this paper, we present a detection and tracking feature points algorithm in real time camera input environment. To trace and extract a face image, we use a modified face detector based on the Haar-like features. For feature points detection, we use good features to track of Shi and Thomasi. In order to track the facial feature points, pyramidal Lucas-Kanade feature tracker algorithm is used. Results on the real time indicate that the proposed algorithm can accurately extract facial features points.