Real-time viewer detection algorithm for smart EGP in the intelligent DTV

Seung Kyun Kim, Dongni Zhang, Dae Hwan Kim, Sang Hee Park, Sung Jea Ko

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

1 Citation (Scopus)

Abstract

In order to provide personalized services in an intelligent digital TV (DTV), a fast and robust viewer detection algorithm is essential. However, conventional face detection algorithms are too costly or not robust for consumer use. Thus, in this paper, we propose a novel viewer detection algorithm for real-time viewer identification in the intelligent DTV. In the proposed algorithm, a viewer is detected by using our proposed modified codebook (MCB) method, and then the face region is extracted by using the normalized horizontal and vertical histogram from the detected person. Experimental results show that the proposed algorithm successfully performs at the speed of 20~25fps, which is suitable for real-time applications in the intelligent DTV.

Original languageEnglish
Title of host publication2009 Digest of Technical Papers International Conference on Consumer Electronics, ICCE 2009
DOIs
Publication statusPublished - 2009
Event2009 International Conference on Consumer Electronics, ICCE 2009 - Las Vegas, NV, United States
Duration: 2009 Jan 102009 Jan 14

Publication series

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

Other

Other2009 International Conference on Consumer Electronics, ICCE 2009
Country/TerritoryUnited States
CityLas Vegas, NV
Period09/1/1009/1/14

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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