Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2007-07-09
2009-02-03
Bella, Matthew C. (Department: 2624)
Image analysis
Pattern recognition
Feature extraction
C382S103000, C382S167000, C382S165000, C382S117000, C382S173000
Reexamination Certificate
active
07486826
ABSTRACT:
A human detection method and apparatus are provided. In the method, a person is detected from an image provided by a digital video camera. The method includes (a) initializing parameters used for a user detection; (b) determining a current mode; (c) when it is determined that the current mode is the face detection mode, performing a face detection on each of a plurality of image frames, and when a face is not detected even after a predetermined number of face detection trials, selecting a motion detection mode and going back to step (b); and (d) when it is determined that the current mode is the motion detection mode, performing a motion detection on a predetermined number of image frames at a time, and when at least a predetermined number of motion detections are performed successfully within a predetermined period of time, going back to step (a).
REFERENCES:
patent: 5164992 (1992-11-01), Turk et al.
patent: 5668600 (1997-09-01), Lee
patent: 5767922 (1998-06-01), Zabih et al.
patent: 5995115 (1999-11-01), Dickie
patent: 7280696 (2007-10-01), Zakrzewski et al.
patent: 2002/0126893 (2002-09-01), Held et al.
patent: 2003/0214583 (2003-11-01), Sadok
patent: P1997-0060927 (1997-08-01), None
patent: P1998-082154 (1998-11-01), None
patent: P2000-0050405 (2000-08-01), None
patent: P2000-0061100 (2000-10-01), None
Bob Fisher et al., http://www.cee.hw.ac.uk/hipr/html/zeros.html, “Zero Crossing Detector”, 1994, pp. 1-4, Department of Artificial Intelligence, University of Edinburgh, UK.
Chinese Office Action dated Mar. 21, 2008 with English translation.
Sung Uk Lee et al., “Real-Time Facial Feature Detection for Person Identication System”, IAPR Workshop on Machine Vision Application, Nov. 2000, 4 pages, Tokyo, Japan XP-002340583.
Bernd Heisele et al., “Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images”, Proceedings of the IEEE Computer Conference on Computer Vision ansd Pattern Recognition, Dec. 8, 2001, pp. II-18 to II-24, vol. 1 of 2, IEEE Comp. Soc. US, Los Alamitos, CA, XP-010584095.
Leonardo C. Topa et al., “Edge Detection and Thinning In Time-Varying Image Sequences Using Spatio-Temporal Templates”, Pattern Recognition, 1989, pp. 143-154, vol. 22, No. 2, Pergamo Press plc, Great Britain, XP-002340584.
N. Bassiou et al., “Frontal Face Detection Using Support Vector Machines and Back-Propagation Neural Networks”, Proceedings 2001 International Conference on Image Processing, Oct. 7-10, 2001, pp. 1026-1029, vol. 1 of 3, Conf. 8, IEEE, U.S., XP-010565037.
Gabor, “Eye Detection Based on Gabor Transforms”, Journal of Circuits and Systems, Dec. 2001, vol. 6, No. 4.
Heisele, Bernd et al., “Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images”, Proceedings of the IEEE Computer Conference on Computer Vision and Pattern Recognitions, Aug. 21, 2001, Los Alamitos, CA, IEEE.
Topa, Leonardo C., et al., “Edge detection and thinning in time-varying image sequences using spatio-temporal templates”, Pattern Recognition, 1989, Abstract only, vol. 22, Issue 2.
Kim Tae-kyun
Sung Young-hoon
Bella Matthew C.
Buchanan & Ingersoll & Rooney PC
Rahmjoo M
Samsung Electronics Co,. Ltd.
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