Application of the expansion Haar features in eye detection

Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China

Volumn 39, Issue 2, 2010, Pages 247-250

  Gan, Ling ^a   Zhu, Jiang ^a   Miao, Dong ^b  

^a CHONGQING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b Sichuan Jiuzhou Electric Group Co Ltd   (China)

Author keywords

Adaboost algorithm; Classificator; Eye detecting; Haar feature

Indexed keywords

ADABOOST ALGORITHM; CLASSIFICATOR; EYE DETECTION; HAAR FEATURES;

ALGORITHMS; EYE PROTECTION; FACE RECOGNITION;

ADAPTIVE BOOSTING;

EID: 77951991483     PISSN: 10010548     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1001-0548.2010.02.020     Document Type: Article

References (11)

1. LI Yong-jie, XIE Wei-fu, YAO De-Zhong. A preliminary study of automatic delineation of eyes on CT images using ant colony optimization[J]. Journal of Electronic Science and Technology of China, 2007, 5(1): 66-69.
2. RIOPKA T P, BOULT T. The eyes have it[C]//Proceeding of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications. California: ACM Press, 2003: 9-16.
3. SONG Jia-tao, LIU Ji-lin, CHI Zhe-ru. Precisely locating human eyes from fornt-view face images[J]. Journal of Computer-Aided Design and Computer Graphics, 2005, 17(3): 540-545.
4. VIOLA P J M. Robust real-time object detection[R]. Technical Report 2001/01, Compaq CRL, 2001.
5. WU Bo. Multi-view face detection and demography classification[D]. Beijing: Tsinghua University, 2004.
6. FAN Ning, SU Fei. An improved face detection training method[J]. Journal of Beijing University of Posts and Telecommunications, 2008, 31(4): 73-76.
7. RAINER L, JOCHEN M. An extended set of haar-like features for rapid object detection[J]. IEEE ICIP, 2002, 900-903.
8. LUO Ming-gang, LI Yi-min, ZENG Su-di. Research on face detection based on adaboost algorithm[J]. Computer and Digital Engineering, 2007, 35(2): 7-9.
9. FREUND Y, SCHAPIRE R E. A decision-theoretic generalization of on-line learning and an application to booosting[J]. Journal of Computer and System Sciences, 1997, 55(1): 11-139.
10. LIENHART R, KURANOV A, PISAREVSKY V. Empirical analysis of detection cascades of boosted classifiers for rapid object detection[C]//Proceedings of the 25th German Pattern Recognition Symposium. Magdeburg: ICIP, 2003: 297-304.
11. YANG Qing-su, YOU Zhi-sheng, ZHANG Xian-yu. Fast multi-face detection algorithm based on hausdorff distance[J]. Journal of University of Electronic Science and Technology of China of China, 2004, 33(4): 407-409.