Image analysis – Image segmentation
Reexamination Certificate
2009-11-03
2011-12-06
Dang, Duy M (Department: 2624)
Image analysis
Image segmentation
C382S180000
Reexamination Certificate
active
08073254
ABSTRACT:
Methods and systems detect objects of interest in a spatio-temporal signal. According to one embodiment, a system processes a digital spatio-temporal input signal containing zero or more foreground objects of interest superimposed on a background. The system comprises a foreground/background separation module, a foreground object grouping module, an object classification module, and a feedback connection. The foreground/background separation module receives the spatio-temporal input signal and, according to one or more adaptable parameters, produces foreground/background labels designating elements of the spatio-temporal input signal as either foreground or background. The foreground object grouping module is connected to the foreground/background separation module and identifies groups of selected foreground-labeled elements as foreground objects. The object classification module is connected to the foreground object grouping module and generates object-level information related to the foreground object. The object-level information adapts the one or more adaptable parameters of the foreground/background separation module, via the feedback connection.
REFERENCES:
patent: 4639784 (1987-01-01), Fling
patent: 4779095 (1988-10-01), Guerreri
patent: 4931868 (1990-06-01), Kadar
patent: 5091780 (1992-02-01), Pomerleau
patent: 5099322 (1992-03-01), Gove
patent: 5212547 (1993-05-01), Otsuki
patent: 5253070 (1993-10-01), Hong
patent: 5268967 (1993-12-01), Jang et al.
patent: 5825936 (1998-10-01), Clarke et al.
patent: 6577762 (2003-06-01), Seeger et al.
patent: 7227988 (2007-06-01), Curry et al.
patent: 7627171 (2009-12-01), Hampshire et al.
patent: 2003/0088532 (2003-05-01), Hampshire, II
Collins RT et al., “A System for Video Surveillance and Monitoring,” Robotics Institute, Proc. American Nuclear Society (ANS) Eight Annual Topical Meeting on Robotics and Remote Systems. Pittsburgh PA: Apr. 1999.
Eveland Christopher et al., “Background Modeling for Segmentation of Video-Rate Stereo Sequences,” Computer Vision and Pattern Recognition, 1998 Proceedings, 1998 IEEE Computer Society Conference on.
Gavrila, D.M. et al., “Real-Time Object Detection Using Distance Transforms,”1998 IEEE International Conference on Intelligent Vehicles; pp. 274-279.
McIvor, Alan M., “Background Subtraction Techniques,” Proc. of Image and Vision Computing, Auckland, New Zealand, 2000.
Mikic, Ivana et al., “Moving Shadow and Object Detection in Traffic Scenes,” 15th International Conference on Pattern Recognition, 2000.
Oren, Michael et al., “A Trainable System for People Detection,” Proceedings of Image Understanding Workshop, CBCL and AI Lab, MIT, Cambridge MA, 1997.
Stenger, B. et al , “Topology Free Hidden Markov Models: Application to Background Modeling,” IEEE International Conference on Computer Vision, 2001.
Hampshire, II John B.
Saptharishi Mahesh
Dang Duy M
Stoel Rives LLP
VideoIQ, Inc.
LandOfFree
Methods and systems for detecting objects of interest in... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Methods and systems for detecting objects of interest in..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Methods and systems for detecting objects of interest in... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4263003