Image analysis – Image segmentation – Region labeling
Reexamination Certificate
2006-07-17
2009-02-17
Alavi, Amir (Department: 2624)
Image analysis
Image segmentation
Region labeling
C382S173000
Reexamination Certificate
active
07492944
ABSTRACT:
Methods and apparatus for effectively identifying the occlusion of objects, such as persons, having a high degree of freedom. In an example embodiment, after initialization, an image is input, and an image region is extracted from image data. The distance is employed that is obtained when the shape of a two-dimensional histogram in the color space is transformed into the feature space. A graph is formed by using the regions between the frames. A confidence factor is provided and image features are provided as weights to the edges that connect the nodes. Processing is performed and the confidence factor is examined. A connection judged less possible to be a path is removed. When there is only one available connection for the occlusion point, this connection is selected.
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Echigo Tomio
Murao Takaaki
Narayanan Ajith Kumar
Tomita, Jr. Alberto
Alavi Amir
International Business Machines - Corporation
Tuchman Ido
Yamonaco Lisa M.
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