Video analysis using segmentation gain by area

Details Video analysis using segmentation gain by area Video analysis using segmentation gain by area

2007-05-15

2007-05-15

Wu, Jingge (Department: 2624)

Image analysis

Applications

Target tracking or detecting

C382S236000, C348S143000

Reexamination Certificate

active

11088308

ABSTRACT:
Video segmentation wherein scene images of subjects and background are captured by video and are automatically segmented according to subject content, as by system determination of the nature of subjects, but segmentation of the subjects can be compromised by visual noise. Segmentation transformations of an original background and foreground images in the scenes are provided as a terrain map, and the segmentation may also incorporate noise blobs. Automatic segmentation threshold adaptation is based on measuring the segmentation noise while holding the number count of noise blobs constant, whereby to achieve noise-adaptive segmentation gain. Automatic threshold adaptation within multiple areas of the scene results in different possible thresholds in different areas based on the amount of segmentation noise in each area. Segmentation is improved accordingly.

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