Multiple centroid condensation of probability distribution clouds
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United States of America Patent
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Feb 19, 2013
Grant Date -
Nov 3, 2011
app pub date -
Apr 29, 2010
filing date -
Apr 29, 2010
priority date (Note) -
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Abstract
Systems and methods are disclosed for identifying objects captured by a depth camera by condensing classified image data into centroids of probability that captured objects are correctly identified entities. Output exemplars are processed to detect spatially localized clusters of non-zero probability pixels. For each cluster, a centroid is generated, generally resulting in multiple centroids for each differentiated object. Each centroid may be assigned a confidence value, indicating the likelihood that it corresponds to a true object, based on the size and shape of the cluster, as well as the probabilities of its constituent pixels.
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