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Indexing of Motion Capture Data Using Feature Vectors Derived from Posture Variation
2013
Journal of Information Processing
Recently several large-scale databases of motion-capture data streams have been constructed. We present a novel method to index motion-capture data streams in such databases. We pay attention to posture variation; the impression of the visual aspect of the whole body is regarded as important. The spatial distribution of body segments is statistically summarized as a feature vector having only 12 dimensions. The experimental results showed that the feature vector we introduced provided
doi:10.2197/ipsjjip.21.358
fatcat:3zkfgzacm5frde6o2c5yvyfufu