Automatic Face Detection Using Feature Tracker
Ki-sang Kim, Gye-Young Kim, Hyung–Il Choi · 2008
This paper presents a method for face detection which is robustness in face rotation. This method has two main modules, candidate face region detecting and tracking. To detect a face region in variously conditional image, we used skin color detection, which is rule-based algorithm. Then, to track the region, we applied Harris corner detection and a greedy feature tracker which has robustness for rotated facial image. In experimental result, we assess the performance of face tracking algorithm, which is robustness in rotation.