Image analysis – Applications – Personnel identification
Reexamination Certificate
2008-01-15
2008-01-15
Johns, Andrew W. (Department: 2624)
Image analysis
Applications
Personnel identification
C382S226000
Reexamination Certificate
active
07319779
ABSTRACT:
The present invention includes a method and system for automatically extracting the multi-class age category information of a person from digital images. The system detects the face of the person(s) in an image, extracts features from the face(s), and then classifies into one of the multiple age categories. Using appearance information from the entire face gives better results as compared to currently known techniques. Moreover, the described technique can be used to extract age category information in more robust manner than currently known methods, in environments with a high degree of variability in illumination, pose and presence of occlusion. Besides use as an automated data collection system wherein given the necessary facial information as the data, the age category of the person is determined automatically, the method could also be used for targeting certain age-groups in advertisements, surveillance, human computer interaction, security enhancements and immersive computer games.
REFERENCES:
patent: 5781650 (1998-07-01), Lobo et al.
patent: 5963670 (1999-10-01), Lipson et al.
patent: 2002/0052881 (2002-05-01), Player
patent: 2002/0102024 (2002-08-01), Jones et al.
patent: 2003/0164878 (2003-09-01), Iizaka
patent: 2006/0045352 (2006-03-01), Gallagher
U.S. Appl. No. 60/421,717, filed Oct. 28, 2002, Sharma et al.
Young H. Kwon and Niels da Vitoria Lobo, “Age Classification from Facial Images”, Computer Vision and Image Understanding vol. 74, No. 1, Apr. pp. 1-21, 1999.
Gregory Shakhnarovich, Paul Viola, and Baback Viola, “A Unified Learning Framework for Real Time Face Detection & Classification”, International Conference on Automatic Face and Gesture Recognition, May 2002.
Andreas Lanitis, Chris J. Taylor and Timothy F. Cootes, “Towards Automatic Simulation of Aging Effects on Face Images”, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 24, No. 4, Apr. 2002.
In D. Micheal Burt, and David. I. Perrett, “Perception of age in adult Caucasian male faces: computer graphic manipulation of shape and colour information”, Proceedings of the Royal Society of London, vol. 259, pp. 137-143, 1995.
Henry A. Rowley, Shumeet Baluja, and Takeo Kanade, “Neural Network-Based Face Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, No. 1, pp. 23-28, Jan. 1998.
C. Burges, “A tutorial on support vector machines for pattern recognition, data mining and knowledge discovery”, vol. 2, pp. 121-167, 1998.
Shree K. Nayar, Hiroshi Murase, Sameer A. Nene, “Parametric Appearance Representation”, Chapter 6 in Early Visual Learning, Edited by Nayar and Poggio. Oxford University Press, 1996.
D. D. Lee and H. S. Seung, “Learning the parts of objects by non-negative matrix factorization,” Nature, vol. 401, pp. 788-791, 1999.
Mummareddy Satish
Sharma Rajeev
Johns Andrew W.
VideoMining Corporation
LandOfFree
Classification of humans into multiple age categories from... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Classification of humans into multiple age categories from..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Classification of humans into multiple age categories from... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2808024