Age and gender estimation by using facial image

Hironobu Fukai, Hironori Takimoto, Yasue Mitsukura, Minoru Fukumi

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

7 Citations (Scopus)

Abstract

In this paper, we propose age and gender estimation system by vairous features. Age and gender has a lot of characteristics. These characteristics are one of the difficult cognitive process in human interaction. If we can extract the important feature of this cognitive process, it is considered that the age and gender estimation by the machine becomes possible. Therefore, we propose a method of age and gender feature extraction and estimation using the face image. In this paper, the age of the face means apparent-age that is based on the human perception of age. Moreover, person's aging and gender difference appear in the faces. For example, the pigmented spot, the wrinkle, sagging skin, shape, color of skin, and so on. Thus, we extract these several features for age and gender estimation. Furthermore, we estimate a continuous age and gender using a neural network (NN).

Original languageEnglish
Title of host publicationAMC2010 - The 11th IEEE International Workshop on Advanced Motion Control, Proceedings
Pages179-184
Number of pages6
DOIs
Publication statusPublished - 2010 Jun 25
Externally publishedYes
Event2010 11th IEEE International Workshop on Advanced Motion Control, AMC2010 - Nagaoka, Niigata, Japan
Duration: 2010 Mar 212010 Mar 24

Publication series

NameInternational Workshop on Advanced Motion Control, AMC

Other

Other2010 11th IEEE International Workshop on Advanced Motion Control, AMC2010
CountryJapan
CityNagaoka, Niigata
Period10/3/2110/3/24

ASJC Scopus subject areas

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

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  • Cite this

    Fukai, H., Takimoto, H., Mitsukura, Y., & Fukumi, M. (2010). Age and gender estimation by using facial image. In AMC2010 - The 11th IEEE International Workshop on Advanced Motion Control, Proceedings (pp. 179-184). [5464004] (International Workshop on Advanced Motion Control, AMC). https://doi.org/10.1109/AMC.2010.5464004