TSK fuzzy modeling approach for face detection

Heesung Lee, Sungjun Hong, Kyongsae Oh, Euntai Kim, Mignon Park

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

2 Citations (Scopus)

Abstract

The human face is one of the most important objects in image or video. Color-based face detection techniques begin with skin color modeling. Color is usually the first cue sought for location face candidates in image or video because skin color is distinct. However, the human skin color differences among people lie in the intensity rather than the color itself. In this paper, we propose the new color modeling algorithm that can detect faces with various skin tones and the illumination conditions using TSK fuzzy system. We first develop a powerful skin and hair color detector based on the TSK fuzzy system considering intensity information in the HS color space. After locating skin pixel candidates, non-face blobs can be eliminated by using texture, shape or motion cues. However, it was computationally expensive due to the complicated algorithm. Hence, we employ the simple decision algorithm using the probabilistic convex regional relationship.

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Pages3941-3944
Number of pages4
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: 2006 Oct 182006 Oct 21

Publication series

Name2006 SICE-ICASE International Joint Conference

Other

Other2006 SICE-ICASE International Joint Conference
CountryKorea, Republic of
CityBusan
Period06/10/1806/10/21

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Lee, H., Hong, S., Oh, K., Kim, E., & Park, M. (2006). TSK fuzzy modeling approach for face detection. In 2006 SICE-ICASE International Joint Conference (pp. 3941-3944). [4108457] (2006 SICE-ICASE International Joint Conference). https://doi.org/10.1109/SICE.2006.314932