Method and system for robust demographic classification...

Details Method and system for robust demographic classification... Method and system for robust demographic classification...

2007-06-11

2010-12-07

Mehta, Bhavesh M (Department: 2624)

Image analysis

Applications

Personnel identification

C382S100000, C382S115000, C382S190000, C382S325000

Reexamination Certificate

active

07848548

ABSTRACT:
The invention provides a face-based automatic demographics classification system that is robust to pose changes of the target faces and to accidental scene variables, by using a pose-independent facial image representation which comprises multiple pose-dependent facial appearance models. Given a sequence of people's faces in a scene, the two-dimensional variations are estimated and corrected using a novel machine learning based method. We estimate the three-dimensional pose of the people, using a machine learning based approach. The face tracking module keeps the identity of the person using geometric and appearance cues, where multiple appearance models are built based on the poses of the faces. Each separately built pose-dependent facial appearance model is fed to the demographics classifier, which is trained using only the faces having the corresponding pose. The classification scores from the set of pose-dependent classifiers are aggregated to determine the final face category, such as gender, age, and ethnicity.

REFERENCES:
patent: 5781650 (1998-07-01), Lobo et al.
patent: 6526156 (2003-02-01), Black et al.
patent: 6707933 (2004-03-01), Mariani et al.
patent: 6741756 (2004-05-01), Toyama et al.
patent: 6973201 (2005-12-01), Colmenarez et al.
patent: 6990217 (2006-01-01), Moghaddam et al.
patent: 7043056 (2006-05-01), Edwards et al.
patent: 7046826 (2006-05-01), Toyama et al.
patent: 7103211 (2006-09-01), Medioni et al.
patent: 7221809 (2007-05-01), Geng
patent: 7711155 (2010-05-01), Sharma et al.
patent: 2002/0102024 (2002-08-01), Jones et al.
patent: 2002/0159627 (2002-10-01), Schneiderman et al.
patent: 2003/0108223 (2003-06-01), Prokoski
patent: 2003/0161500 (2003-08-01), Blake et al.
patent: 2004/0240708 (2004-12-01), Hu et al.
patent: 2005/0180626 (2005-08-01), Moon et al.
patent: 2005/0265581 (2005-12-01), Porter et al.
S. Li, J. Yan, X. Hou, Z. Li and H. Zhang, “Learning Low Dimensional Invariant Signature of {3-D} Object under Varying View and Illumination from {2-D} Appearances,” International Conference in Computer Vision, 2001.
L. Walawalkar, M. Yeasin, A. M. Narasimhamurthy, and R. Sharma, “Support Vector Learning for Gender Classification Using Audio and Visual Cues,” International Journal of Pattern Recognition and Artificial Intelligence, vol. 17(3), 2003.

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