Fast face detection system using the GA-based threshold method

Y. Mitsukura, M. Fukumi, N. Akamatsu

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

2 Citations (Scopus)

Abstract

Threshold selection in multi-value images is performed based on their color information. When the threshold in an image is fixed it lacks versatility for the others. Because the color information varies under the influence of light conditions. In this paper, a genetic algorithm (GA) is used to select the most likely values of lips and skin colors in a light condition. It is possible to extract objects from the multi-value image only with the color information. In this paper, the objects of extraction are chosen to be the human lips and skin colors.

Original languageEnglish
Title of host publicationANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages183-187
Number of pages5
ISBN (Electronic)1740520610, 9781740520614
DOIs
Publication statusPublished - 2001 Jan 1
Externally publishedYes
Event7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001 - Perth, Australia
Duration: 2001 Nov 182001 Nov 21

Publication series

NameANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference

Other

Other7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001
CountryAustralia
CityPerth
Period01/11/1801/11/21

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Fast face detection system using the GA-based threshold method'. Together they form a unique fingerprint.

  • Cite this

    Mitsukura, Y., Fukumi, M., & Akamatsu, N. (2001). Fast face detection system using the GA-based threshold method. In ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference (pp. 183-187). [974073] (ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ANZIIS.2001.974073