Indexing of Motion Capture Data Using Feature Vectors Derived from Posture Variation

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概要

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• 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 properties comparable to those of the methods previously proposed, even though its dimensionality is extremely low.

著者

• Tamamoto Hideo

  Graduate School Of Engineering And Resource Sci. Akita Univ.

• Matsumoto Naho

  Faculty of Education and Human Studies, Akita University

• Kaiga Takaaki

  Graduate School of Engineering and Resource Science, Akita University

• Katsura Hiroaki

  Faculty of Education and Human Studies, Akita University

• Tajima Katsubumi

  Graduate School of Engineering and Resource Science, Akita University

• Miura Takeshi

  Graduate School of Engineering and Resource Science, Akita University

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