Person identification system for future digital tv with intelligence

Min Cheol Hwang, Le Thanh Ha, Nam Hyeong Kim, Chun Su Park, Sung Jea Ko

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

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∼20 fps, which is suitable for the iDTV.

Original languageEnglish
Pages (from-to)218-226
Number of pages9
JournalIEEE Transactions on Consumer Electronics
Volume53
Issue number1
DOIs
Publication statusPublished - 2007 Feb

Keywords

  • Audience identification
  • Face detection
  • Face recognition
  • Intelligent digital TV
  • Personalized services

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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