Face tracking and recognition with deep feature in camera surveillance system

Deep Learning is known as the most powerful technique for handling almost Computer Vision problems. Many state-ofthe-art methods in face recognition focus on recognition from still images. In this paper, we propose a method of combining face tracking and face representation for still images to increase high accuracy rate in the setting of camera surveillance.