Browse > Article
http://dx.doi.org/10.13067/JKIECS.2011.6.6.973

A Study on the Facal motion and for Detection of area Using Kalman Fillter algorithm  

Seok, Gyeong-Hyu (순천청암대학 병원의료정보과)
Park, Bu-Yeon (서남대학교 보건행정학과, 조선대학교 보건대학원)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.6, no.6, 2011 , pp. 973-980 More about this Journal
Abstract
In this paper, we gaze upon the movement faces the problem points are difficult to identify a user based on points and that corrective action is needed to solve the identification system is proposed a new eye. Kalman filter, the current head of the location information was used to estimate the future position in order to determine the authenticity of the face facial features and structural elements, the information and the processing time is relatively fast horizontal and vertical elements of the face using the histogram analysis to detect. And an infrared illuminator obtained by constructing a bright pupil effect in real-time detection of the pupil, the pupil was tracked - geulrinteu vectors are extracted.
Keywords
Kalman filter; Facal motion; Baysian analysis;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 J. Weng, D. L. Swets, "Face Recognition in Biometrics : Personal Identification in Networked Society", pp. 67-86, Boston. MA KluwerAcademic, 1999.
2 K. Sung, T.Poggio, "Example-based learning for view-based human face detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, Issue 1, pp. 39-51, Jan., 1998.   DOI   ScienceOn
3 L. Cohen, N. Sebe, A. Garg, M.A. Lew, T.S. Huang, "Facial expression recognition form video sequrences", IEEE International Conference on Multimedia, pp. 708-715, 2002.
4 T. Yamaguchi, M.Tominage, K, Mrakami, H. Koshimizu, "Regeneration of facial image eye-contacting with partner on TV Confernce environment", IEEE Iternational Conference on Systems, Man, and Cybernetics, Vol. 2, pp. 1169-1174, 2000.
5 C. Collet, A. Finkel, R. Gherbi, "CapRe; a gaze tracking system in man-machine interaction", IEEE International Conference on intelligent Engineering Systems, pp. 577-581, 1997.
6 P. Ekman and W.V. Friesen, "Emotion in the human face System." cambridge University Press, San Francisco, CA, second edition, pp. 416-412, 1992.
7 Isfan A. Essa and Alex P. Pentland. "Facial expression recognition using visually extracted facial action parameters." In Int'l Work-shop on Automatic Face and Gesture-Recognition '95, pp. 35-40, 1998.
8 김동욱, "소실점과 움직임 객체간의 거리 추적", 한국전자통신학회논문지, Vol. 6, No. 5, pp. 637-642, 2011.
9 정양권, "3D 영상기반에서 시각 및 청각 뇌 자극을 이용한 가상현실 건강치유법에 관한 연구", 한국전자통신학회논문지, Vol. 3, No. 4, pp. 233-239, 2008.
10 정유선, 홍성수, "Kalman-Filter를 이용한 효과적인 시선검출", 한국전자통신학회논문지, Vol. 5, No. 4, pp. 399-405, 2010.