Image analysis – Applications – 3-d or stereo imaging analysis
Reexamination Certificate
2004-02-20
2009-02-03
Couso, Yon (Department: 2624)
Image analysis
Applications
3-d or stereo imaging analysis
C382S103000, C348S047000, C348S169000
Reexamination Certificate
active
07486815
ABSTRACT:
A method and apparatus are provided for learning a model for the appearance of an object while tracking the position of the object in three dimensions. Under embodiments of the present invention, this is achieved by combining a particle filtering technique for tracking the object's position with an expectation-maximization technique for learning the appearance of the object. Two stereo cameras are used to generate data for the learning and tracking.
REFERENCES:
patent: 6542621 (2003-04-01), Brill et al.
patent: 7068842 (2006-06-01), Liang et al.
patent: 7148913 (2006-12-01), Keaton et al.
patent: 7190809 (2007-03-01), Gutta et al.
patent: 7321854 (2008-01-01), Sharma et al.
patent: 2003/0103647 (2003-06-01), Rui et al.
Schödl, A. et al., “Head Tracking Using a Textured Polygonal Model,” Proceedings of Workshop on Perceptual User Interfaces, Nov. 1998.
Frey, B.J. et al., “Learning Graphical Models of Images, Videos and Their Spatial Transformations,” Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence, 2000.
Murphy, K. et al., “Sequential Monte Carlo Methods in Practice,” Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks (2000).
Cootes, T.F. et al., “Active Appearance Models,” Proceeding of the European Conference on Computer Vision, 1998, vol. 2, pp. 484-498.
Dellaert, F. et al, “Jacobian Images of Super-Resolved Texture Maps for Model-Based Motion Estimation and Tracking,” IEEE Workshop on Applications of Computer Vision, Oct. 1998, pp. 2-7.
Papanikolopoulos, N. et al., “Vision and Control Techniques for Robotic Visual Tracking,” Proceeding IEEE Int. Conf. Robotics and Autmation, 1991, vol. 1, pp. 851-856.
Malciu, M. et al., “A Robust Model-Based Approach for 3D Head Tracking in Video Sequences,” Proceedings 4thIEEE International Conference on Automatic Face and Geture Recognition, Grenoble, France, Mar. 2000, vol. 1, pp. 169-174.
Blake, A. et al, “Active Contours,” Springer-Verlag, 1998.
Tagare, H.D., “A Gentle Introduction to the EM Algorithm. Part I:Theory,” 1998, pp. 1-14.
Scharstein, D. et al, “A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms,” International Journal of Computer Vision, No. 47, pp. 7-42, 2002.
Attias Hagai
Hershey John R.
Kristjansson Trausti
Couso Yon
Magee Theodore M.
Microsoft Corporation
Westman Champlin & Kelly P.A.
LandOfFree
Method and apparatus for scene learning and... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and apparatus for scene learning and..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for scene learning and... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4080546