Image analysis – Pattern recognition – Classification
Reexamination Certificate
2006-08-29
2006-08-29
Shah, Sanjiv (Department: 2627)
Image analysis
Pattern recognition
Classification
C348S142000, C348S152000, C382S118000, C382S159000, C382S203000
Reexamination Certificate
active
07099510
ABSTRACT:
An object detection system for detecting instances of an object in a digital image includes an image integrator and an object detector, which includes a classifier (classification function) and image scanner. The image integrator receives an input image and calculates an integral image representation of the input image. The image scanner scans the image in same sized subwindows. The object detector uses a cascade of homogenous classification functions or classifiers to classify the subwindows as to whether each subwindow is likely to contain an instance of the object. Each classifier evaluates one or more features of the object to determine the presence of such features in a subwindow that would indicate the likelihood of an instance of the object in the subwindow.
REFERENCES:
patent: 4965725 (1990-10-01), Rutenberg
patent: 5642431 (1997-06-01), Poggio et al.
patent: 5850470 (1998-12-01), Kung et al.
patent: 6014461 (2000-01-01), Hennessey et al.
patent: 6184926 (2001-02-01), Khosravi et al.
patent: 6421463 (2002-07-01), Poggio et al.
patent: 6647139 (2003-11-01), Kunii et al.
patent: 6940545 (2005-09-01), Ray et al.
patent: 6944342 (2005-09-01), Stahl et al.
Papageorgiou, C.P., et al., “A General Framework for Object Detection,” Proceedings of International Conference on Computer Vision, Bombay, India (Jan. 1998) (8 pages).
Freund, Y., et al., “Experiments with a New Boosting Algorithm,” Machine Learning: Proceedings of the Thirteenth International Conference (1996) (9 pages).
Schneiderman, H., et al., “A Statistical Method for 3D Object Detection Applied to Faces and Cars,” IEEE, Conference on Computer Vision and Pattern Recognition, Hilton Head, South Carolina (Jun. 2000) (6 pages).
Romdhani, S., et al., “Computationally Efficient Face Detection,” Proceedings Eighth IEEE International Conference on Computer Vision, Vancouver, BC 11: 695-700 (Jul. 2001).
Rowley, H.A., et al., “Neural Network-Based Face Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(1): 23-38 (1998).
Sung, K.K., “Example-Based Learning for View-Based Human Face Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(1): 39-50 (1998).
Amit, Y., et al., “A Computational Model for Visual Selection,” 1-35, Department of Statistics, University of Chicago (Feb. 1998).
Jones Michael J.
Viola Paul
Desire Gregory
Hewlett--Packard Development Company, L.P.
Lange Richard P.
Shah Sanjiv
LandOfFree
Method and system for object detection in digital images 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 system for object detection in digital images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for object detection in digital images will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3630513