Title :
Detecting of one´s eye from facial image by using genetic algorithm
Author :
Tani, Hideaki ; Terada, Kenji ; Oe, Shunichiro ; Yamaguchi, Junichi
Author_Institution :
Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan
Abstract :
If one´s eye can be detected by camera, it can be applied to observe action of humans, and to check looking aside when driving. There is no effective method now, because of changing condition of light and direction of face on image. Therefore in this paper, we propose the method that extracts the region of the eyes out of a facial image by genetic algorithm and detect one´s eye. This method is not influenced by neither situation or expression and direction of face by devising string and fitness
Keywords :
eye; face recognition; feature extraction; genetic algorithms; driving; eye detection; eye region extraction; facial image; fitness; genetic algorithm; glance detection; string; Biological cells; Cameras; Data mining; Eyes; Face detection; Genetic algorithms; Genetic engineering; Humans; Intelligent systems; Systems engineering and theory;
Conference_Titel :
Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-7108-9
DOI :
10.1109/IECON.2001.975587
