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Real-Time Pupil Detection System Using PC Camera  

조상규 (군산대학교 전자정보공학부 영상통신 연구실)
황치규 (군산대학교 전자정보공학부 영상통신 연구)
황재정 (군산대학교 전자정보공학부)
Abstract
A real-time pupil detection system that detects the pupil movement from the real-time video data achieved by the visual light camera for general purpose personal computer is proposed. It is implemented with three steps; at first, face region is detected using the Haar-like feature detection scheme, and then eye region is detected within the face region using the template-based scheme. Finally, pupil movement is detected within the eye region by convolution of the horizontal and vertical histogram profiling and Gaussian filter. As results, we obtained more than 90% of the detection rate from 2375 simulation images and the data processing time is about 160㎳, that detects 7 times per second.
Keywords
features protypes; face detection; eye detection; pupil detection.;
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1 Neural network-based face detection /
[ H.A. Rowley;S.Baluja;T. Kanade ] / IEEE Trans PAMI   DOI   ScienceOn
2 /
[ 이방래 ] / 적외선과 시각센서를 이용한 실시간 방향 추적 시스템
3 Human and Z. machine Recognition of faces:A Survey /
[ R. Chellappa;Wilson,C.L. Sirohey;S. Sirohey ] / Proc. of IEEE   DOI   ScienceOn
4 Detectiong Faces in Images: A Survey /
[ M. H. Yang;D. Kriegman;N. Ahuja ] / IEEE Trans. PAMI   DOI
5 Face and Facial Landmarks Location Based on Log-Polar Mapping /
[ S. Chien;I. Choi ] / First IEEE International Workshop, BMCV 2000
6 An Extended Set of Haar-like Features for Rapid Object Detection /
[ R. Lienhart; J. Maybt ] / IEEE ICIP 2002
7 Face recognition: Reatures Versus Templates /
[ R. Rrunelli; T.Poggio ] / IEEE Trans.PAMI
8 Face Detection: A Survey /
[ Erik Hjelmas;Boon Kee Low ] / Computer Vision and Image Understanding   DOI   ScienceOn
9 Face Recognition Using the Nearest Feature Line Method /
[ S.Z. Li;J. Lu ] / IEEE.Trans, on Neural Network   DOI   ScienceOn
10 Object Recognition via Image Invariant : A Case Study /
[ P. Sinha ] / Investigative Oph-thalmology and Visual Science
11 Rapid Object Detecion using a Boosted Cascade of Simple Features /
[ P. Viola;M. Jones ] / IEEE CVPR
12 Example-based learning for view-based human face detection /
[ K. K. Sung;T. Poggio ] / IEEE Trans.Pattern Anal.Mach.Intelligence   DOI   ScienceOn
13 Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection /
[ R. Lienhart;A. Kuranov;V. Ppsarevsky ] / DAGM'03,2 5th Pattern Recognition Symposium
14 A decison-theoretic generalization of on-line learning and an application to boosting /
[ Y. Freund;R. E. Schapire ] / Computational Learning Theory: Eurocolt'95