Capturing and recognizing hand postures using inner distance shape contexts
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United States of America Patent
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Apr 23, 2013
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N/A
app pub date -
Feb 19, 2010
filing date -
Feb 25, 2009
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Abstract
A system, method, and computer program product for recognizing hand postures are described. According to one aspect, a set of training images is provided with labels identifying hand states captured in the training images. Inner Distance Shape Context (IDSC) descriptors are determined for the hand regions in the training images, and fed into a Support Vector Machine (SVM) classifier to train it to classify hand shapes into posture classes. An IDSC descriptor is determined for a hand region in a testing image, and classified by the SVM classifier into one of the posture classes the SVM classifier was trained for. The hand posture captured in the testing image is recognized based on the classification.
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