Computer Vision by Tracking and Recognition

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Although many recognition problems have been solved frame by frame in the conventional computer vision systems, more efficient and effective vision systems are desired for developing possible applications in the future. A novel approach to computer vision is proposed in this research by introducing a unified framework of tracking and recognition. In our approach, three typical recognition problems have been discussed in the unified framework based on an efficient object tracking technique. Finally, we have shown the effectiveness of our approach by creating a human interface including the face motion tracking, face recognition and expression recognition in the unified system.