Image analysis – Image segmentation
Reexamination Certificate
2011-03-29
2011-03-29
Wu, Jingge (Department: 2624)
Image analysis
Image segmentation
C348S143000
Reexamination Certificate
active
07916944
ABSTRACT:
Foreground segmentation in real world dynamic scenes, including under various lighting and shadow conditions, is disclosed. It may be used with one or multiple cameras for various automated tasks, such as classification of moving object, tracking moving objects, and event detection in various indoor or outdoor environments. Pixel to pixel subtraction is performed on each frame, followed by a feature-level based foreground segmentation to properly validate the foreground pixels. In this step, for each pixel in the image, a neighborhood of pixels is selected, and the aggregate change in the neighborhood image is used to classify foreground and background pixels. Normalized cross correlation is then applied to the neighborhood of each pixel that was confirmed to be foreground pixel.
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Chen Francine
Kimber Donald G.
Yang Tao
Fuji 'Xerox Co., Ltd.
Motsinger Sean
Sughrue & Mion, PLLC
Wu Jingge
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