Block-based Gaussian mixture model video motion detection

Image analysis – Pattern recognition – Classification

Reexamination Certificate

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C382S103000, C382S164000, C382S173000

Reexamination Certificate

active

07664329

ABSTRACT:
A method for the detection of motion in video data is disclosed. In an embodiment, a method uses a background technique for the motion detection. In another embodiment, a Gaussian Mixture Model is applied to a neighborhood or block of pixels within an image frame, thereby identifying background and foreground in the image based on said blocks.

REFERENCES:
patent: 7039232 (2006-05-01), Nagarajan et al.
patent: 7106901 (2006-09-01), de Queiroz
patent: 7246314 (2007-07-01), Foote et al.
patent: 7379593 (2008-05-01), Fan et al.
patent: 2005/0276446 (2005-12-01), Chen et al.
patent: 2007/0206865 (2007-09-01), Boregowda et al.
patent: 2007/0237393 (2007-10-01), Zhang et al.
patent: 2008/0137950 (2008-06-01), Park et al.
patent: 2009/0067716 (2009-03-01), Brown et al.
Collins, R., “A System for Video Surveillance and Monitoring”,Tech. Report CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University, (May 2000),1-69.
Cucchiara, R., “Detecting moving objects, ghosts, and shadows in video streams”,IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(10), (Oct. 2003),1337-1342.
Friedman, N., “Image Segmentation in Video Sequences: A Probabilistic Approach”,Proc. Thirteenth Conf. on Uncertainty in Artificial Intelligence(UAI 97), (1997), 1-3.
Jabri, S., “Detection and location of people in video images using adaptive fusion of color and edge information”,15th International Conference on Pattern Recognition, 4, (Sep. 3-7, 2000),627-630.
Mckenna, S., “Tracking Groups of People”,Computer Vision and Image Understanding, 80, (2000),42-56.
Meyer, D., “Model based extraction of articulated objects in image sequences for gait analysis”,International Conference on Image Processing, 3, (Oct. 26-29, 1997),78-81.
Morellas, V. , “DETER: Detection of Events for Threat Evaluation and Recognition”,Machine Vision and Applications, 15, (2003),29-45.
Stauffer, Chris , “Adaptive Background Mixture Models for Real-time Tracking”,Proceedings 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2(2), (Jun. 1999),246-52.
Toyama, Kentaro , “Wallflower: Principles and Practice of Background Maintenance”,The Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 1,, (Sep. 20-27, 1999),255-261.

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