Hand gesture classification using boosted cascade of classifiers

Proceedings of the 4th IEEE International Conference on Research, Innovation and Vision for the Future, RIVF'06

Volumn , Issue , 2006, Pages 139-144

  Dinh, Thang B ^a,b   Dang, Van B ^a,b   Duong, Duc A ^a,b   Nguyen, Tuan T ^a,c   Le, Duy Dinh ^a,c  

^a IEEE   (Viet Nam)

^b UNIVERSITY OF NATURAL SCIENCES   (Viet Nam)

^c NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

AdaBoost; Haar wavelet features; Hand gesture recognition; Sign language

Indexed keywords

ADABOOST; HAAR WAVELET FEATURES; HAND GESTURE RECOGNITION; SIGN LANGUAGE;

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL EFFICIENCY; COMPUTER SOFTWARE; HUMAN COMPUTER INTERACTION; ROBOT APPLICATIONS; WAVELET ANALYSIS;

GESTURE RECOGNITION;

EID: 34250718802     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RIVF.2006.1696430     Document Type: Conference Paper

References (12)

1. C. Papageorgiou, M. Oren, and T. Poggio. A general framework for Object Detection. In International Conference on Computer Vision, 1998.
2. Paul Viola and Michael J. Jones. Rapid Object Detection using a Boosted Cascade of Simple Features. IEEE CVPR, 2001.
3. M. Kolsch and M. Turk. Robust Hand Detection. In Proc. IEEE Intl. Conference on Automatic Face and Gesture Recognition, May 2004.
4. Rainer Lienhart and Jochen Maydt. An Extended Set of Haarlike Features for Rapid Object Detection. IEEE ICIP 2002. Vol. 1, pp. 900-903, Sep. 2002.
5. Y. Fruend and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1): 119-139, 1997.
6. Eng-Jon Ong and Bowden, R. A Boosted Classifier Tree for Hand Shape Detection. In Proc. IEEE Intl. Conference on Automatic Face and Gesture Recognition, 2004.
7. William T. Freeman, Michal Roth. Orientation Histograms for Hand Gesture Recognition. In Proc. IEEE Intl. Wkshp. on Automatic Face and Gesture Recognition, Zurich, June, 1995.
8. Ahonen T, Hadid A & Pietikäinen M (2004). Face recognition with local binary patterns. Computer Vision, ECCV 2004 Proceedings, Lecture Notes in Computer Science 3021, Springer, 469-481.
9. R. S. Feris and R. M. Cesar Jr. Tracking Facial Features Using Gabor Wavelet Networks. In Proceedings of SIBGRAPI'2000 Brazilian Symposium on Computer Graphics and Image Processing, pp. 22-27, Gramado, Brazil, October 2000. IEEE Computer Society press.
10. R.E. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. In Proceedings of the Eleventh Annual Conference in Computational Learning Theory, 1998.
11. C.Liu and H.Y.Shum. Kullback-Leibler Boosting, Proc. CVPR, Vol.1, pp.587-594, 2003.
12. Kobi Levi, Yair Weiss. Learning Object Detection from a Small Number of Examples: The Importance of Good Features, CVPR, pp. 53-60, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2, 2004.