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POSE AND SUB-POSE CLUSTERING-BASED IDENTIFICATION OF INDIVIDUALS
POSE AND SUB-POSE CLUSTERING-BASED IDENTIFICATION OF INDIVIDUALS
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机译:基于姿势和子位置聚类的个人标识
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摘要
The subject matter discloses systems and methods for identification of individuals. The method includes obtaining static and dynamic feature vectors for skeleton data frames of each individual performing a step activity with an arbitrary pattern and in a random path; creating, for the each individual, a first predefined number of clusters of dynamic feature vectors for the frames; creating, for the each individual, a second predefined number of sub-clusters within the each of the clusters of the dynamic feature vectors for the frames associated with the each of the clusters; and determining, for the each individual, a gait-pose feature data set based on computation of a center of the dynamic feature vectors for the frames associated with the each of the sub-clusters, and a mean of the static feature vectors for the frames associated with the each of the clusters, for identifying the individuals.
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