Face detection using the near-infrared camera and evolutionary algorithms

Yasue Mitsukura, Yohei Tomita

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A purpose of this paper is to recognize a face from a near-infrared (NIR) camera image. The face detection with a NIR camera is comparatively difficult because images obtained by the NIR camera are gray scale images. In this paper, the filter by the GA is designed for the purpose of getting the faces. The method of detecting faces and its position from the NIR images is proposed as an online system. It is demonstrated that our approach is effective for vehicle driver monitoring. Finally, it was confirmed that the proposed method works well.

Original languageEnglish
Pages (from-to)1579-1587
Number of pages9
JournalInformation
Volume15
Issue number4
Publication statusPublished - 2012 Apr
Externally publishedYes

Fingerprint

Face recognition
Evolutionary algorithms
Cameras
Infrared radiation
Online systems
Monitoring

Keywords

  • Face detection
  • Gabor transform
  • Genetic algorithm
  • Near-infrared camera

ASJC Scopus subject areas

  • General

Cite this

Face detection using the near-infrared camera and evolutionary algorithms. / Mitsukura, Yasue; Tomita, Yohei.

In: Information, Vol. 15, No. 4, 04.2012, p. 1579-1587.

Research output: Contribution to journalArticle

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