Image analysis – Applications – Target tracking or detecting
Reexamination Certificate
2011-08-09
2011-08-09
Tucker, Wesley (Department: 2624)
Image analysis
Applications
Target tracking or detecting
C382S118000, C382S143000
Reexamination Certificate
active
07995793
ABSTRACT:
An occlusion detector (200, 201, 203, 205, 207) for detecting occlusion areas (108, 110) in an image (100) comprises a motion vector selector (202) for selecting at least two motion vectors (118, 120) from a set of motion vectors. It further comprises a pixel value comparator (206) for calculating a first and a second pixel value difference between a particular value of a particular pixel (112) of the image (100) and a second value of a second pixel (116) and a third value of a third pixel (114), both of a further image (102). The occlusion detector (200, 201, 203, 205, 207) further comprises a decision unit (204) for deciding whether the particular pixel (112) belongs to one of the occlusion areas (108, 110) by checking whether the first and second pixel value differences are larger than a first predetermined threshold and a second predetermined threshold, respectively.
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DLA Piper (LLP) US
Trident Microsystems (Far East) Ltd.
Tucker Wesley
Woldemariam Aklilu K
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