Image analysis – Applications – Target tracking or detecting
Reexamination Certificate
2004-05-11
2009-10-13
Mariam, Daniel G (Department: 2624)
Image analysis
Applications
Target tracking or detecting
C382S115000, C382S159000, C382S203000, C348S077000, C348S135000, C348S169000
Reexamination Certificate
active
07602941
ABSTRACT:
A system and method for object detection are provided where the system includes a component detection unit for detecting components in an image, a component fusion unit in signal communication with the component detection unit for fusing the components into an object, and a CPU in signal communication with the detection and fusion units for comparing the fused components with a statistical model; and the method includes receiving observation data for a plurality of training images, forming at least one statistical model from the plurality of training images, receiving an input image having a plurality of pixels, detecting a plurality of components in the input image, determining a fusion of the detected components, comparing the fusion with the statistical model, and detecting an object in accordance with the comparison.
REFERENCES:
patent: 6137909 (2000-10-01), Greineder et al.
patent: 6301370 (2001-10-01), Steffens et al.
patent: 6609093 (2003-08-01), Gopinath et al.
patent: 7099510 (2006-08-01), Jones et al.
Paul Viola and Michael Jones, “Rapid Object Detection using a Boosted Cascade of Simple Features”, 2001, IEEE Computer Vision and Pattern Recognition, vol. 1, pp. 511-518.
Bernd Heisele, Thomas Serre, Massimiliano Pontil and Tomaso Poggio, “Component-based Face Detection”, 2001, IEEE Computer Society Press, vol. 1, pp. 657-662.
Burl, M.C.; Perona, P.; “Recognition of planar object classses”; Computer Vision and Pattern Recognition, 1996. Proceedings CVPR'96, 1996 IEEE Computer Society Conference on.
Article entitled “Component Fusion for Face Detection in the Presence of Heteroscedastic Noise” by Binglong Xie et al.
Article entitled “The Boosting Approach to Machine Learning An Overview” by Robert E. Schapire, Dec. 19, 2001, pp. 1-23.
Article entitled “Finding Human Faces with a Gaussian Mixture Distribution-Based Face Model” by Tomaso Poggio et al., pp. 437-446.
Article entitled “Statistical models of appearance for medical image analysis and computer Vision” by T.F. Cootes et al., pp. 236-248.
Article entitled “Robust Real-time Face Detection” by Paul Viola et al., pp. 747.
Article entitled “Finding Faces in Cluttered Scenes using Random Labeled Graph Matching” by T.K. Leung et al., pp. 637-644.
Article entitled “Advances in Component-based Face Detection” by Stanley M. Bileschi et al.
Article entitled “Component-based Face Detection” by Bernd Heisele et al., pp. I-657-I-662.
Comaniciu Dorin
Ramesh Visvanathan
Simon Markus
Xie Binglong
F. Chau & Associates LLC
Mariam Daniel G
Paschburg Donald B.
Seth Manav
Siemens Aktiengesellschaft
LandOfFree
Component fusion for face detection does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Component fusion for face detection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Component fusion for face detection will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4067770