DocumentCode :
2252934
Title :
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
Link To Document :
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