Face tracking and recognition with deep feature in camera surveillance system
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.