Title :
Real-time eye detection using face-circle fitting and dark-pixel filtering
Author :
Lin, Daw-Tung ; Yang, Chen-Ming
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Chung-Hua Univ., Hsinchu
Abstract :
Real-time eye tracking is a challenging problem. A face-circle fitting (FCF) method is proposed to confirm the extracted face region. Once the face is detected, a dark-pixel filter (DPF) is used to perform eye detection and tracking. Furthermore, The proposed system has been implemented on a personal computer with a PC-camera and can perform eye detection and tracking in real-time. The correct eye identification rate is as high as 92% during the actual operation
Keywords :
face recognition; image colour analysis; object detection; optical tracking; dark-pixel filtering; eye identification rate; face-circle fitting; real-time eye detection; real-time eye tracking; skin color region extraction; Biometrics; Computer science; Eyes; Face detection; Filtering; Filters; Flowcharts; Frequency; Humans; Real time systems;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394426
