Real-time person identification system for intelligent digital TV

Min Cheol Hwang, Le Thanh Ha, Seung Kyun Kim, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Intelligent digital TV (iDTV) is an enhanced digital TV that can automatically provide user-personalized services for each audience. For the user-personalized services, the iDTV should recognize audiences in real-time. Thus, in this paper, we define a novel structure of the iDTV and propose a real-time person identification system embedded in the iDTV. The proposed system consists of three phases: preprocessing for reducing computational costs of the proposed system, face detection using a statistical approach with Haar-like features, and face recognition using Support Vector Machines (SVMs). Experimental results show that the proposed system achieves efficient performance with high recognition accuracy of above 90% at the speed of 15-20 fps, which is suitable for applying to the iDTV.

Original languageEnglish
Title of host publicationDigest of Technical Papers - 2007 International Conference on Consumer Electronics, ICCE 2007
DOIs
Publication statusPublished - 2007
Event2007 Digest of Technical Papers International Conference on Consumer Electronics - Las Vegas, NV, United States
Duration: 2007 Jan 102007 Jan 14

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Other

Other2007 Digest of Technical Papers International Conference on Consumer Electronics
CountryUnited States
CityLas Vegas, NV
Period07/1/1007/1/14

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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