文章基本信息

标题：Indexing of Motion Capture Data Using Feature Vectors Derived from Posture Variation
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作者：Takeshi Miura ; Naho Matsumoto ; Takaaki Kaiga 等
期刊名称：Information and Media Technologies
电子版ISSN：1881-0896
出版年度：2013
卷号：8
期号：2
页码：505-508
DOI：10.11185/imt.8.505
出版社：Information and Media Technologies Editorial Board
摘要：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.
关键词：motion capture;information retrieval;indexing;similarity