Human face location in image sequences using genetic templates

Author

Kim, Jae Woo ; Kang, Byoung Ho ; Kim, Poong Min ; Cho, Maeng Sub

Author_Institution

Dept. of Human Comput. Interface, Syst. Eng. Res. Inst., Taejon, South Korea

Volume

3

fYear

1997

fDate

12-15 Oct 1997

Firstpage

2985

Abstract

Describes a computer vision system to locate a human face in an image sequence. The system operates on an image sequence captured during a time period and locates the human face region on each image in the sequence. It is the first important step in a human face recognition system. In this system we use a genetic algorithm to construct human face templates. We evolve our templates to adapt to the characteristics which human faces commonly have. The system consists of the following image processing modules: (1) noise reduction, (2) moving object region detection, (3) human face candidate region detection, (4) human face region verification. In the last step, we confirm the human face region among the candidate regions using the human face templates constructed by the genetic algorithm

Keywords

computer vision; edge detection; face recognition; genetic algorithms; image segmentation; image sequences; motion estimation; candidate region detection; computer vision system; genetic algorithm; genetic templates; human face location; human face templates; image sequences; moving object region detection; noise reduction; region verification; Computer vision; Face detection; Face recognition; Genetic algorithms; Humans; Image processing; Image sequences; Layout; Noise reduction; Object detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1062-922X

Print_ISBN

0-7803-4053-1

Type

conf

DOI

10.1109/ICSMC.1997.635457

Filename

635457