User recognition based on continuous monitoring and tracking

This paper presents a user recognition system, using face, height, and clothes color features under the special assumption that is a user is monitored and tracked. In real human-robot interaction situation, all information cannot be provided at the same time and some parts of frames in a video have no clues at all. In the proposed system, tracking is an important feature to recognize a user because data in the previous frames can be utilized. We propose an information update method that efficiently updates similarity results. This system is tested using the movie clips acquired under the unconstrained environment including illumination variation, several distance from a camera to the user, and various view types of human body.