Person identification system for future digital TV with intelligence

Intelligent digital TV (iDTV) is a future digital TV with intelligence which can automatically provide userpersonalized services for each audience. For the userpersonalized services, the iDTV should recognize audiences in real-time. In this paper, we define a novel structure of the iDTV and propose a real-time person identification system in the iDTV that analyzes captured images and recognizes audiences. The proposed system consists of three processing units: preprocessing for reducing computational costs of the proposed system, face detection using a statistical approach, and face recognition using Support Vector Machines (SVMs). Experimental results show that the proposed system achieves efficient performance with high recognition accuracy of 90% or higher at the speed of 15 similar to 20 fps, which is suitable for the iDTV(1).