Compression of Human Motion Capture Data Using Motion Pattern Indexing

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dc.contributor.authorGu, Qinen_US
dc.contributor.authorPeng, Jingliangen_US
dc.contributor.authorDeng, Zhigangen_US
dc.date.accessioned2015-02-23T09:07:43Z
dc.date.available2015-02-23T09:07:43Z
dc.date.issued2009en_US
dc.description.abstractIn this work, a novel scheme is proposed to compress human motion capture data based on hierarchical structure construction and motion pattern indexing. For a given sequence of 3D motion capture data of human body, the 3D markers are first organized into a hierarchy where each node corresponds to a meaningful part of the human body. Then, the motion sequence corresponding to each body part is coded separately. Based on the observation that there is a high degree of spatial and temporal correlation among the 3D marker positions, we strive to identify motion patterns that form a database for each meaningful body part. Thereafter, a sequence of motion capture data can be efficiently represented as a series of motion pattern indices. As a result, higher compression ratio has been achieved when compared with the prior art, especially for long sequences of motion capture data with repetitive motion styles. Another distinction of this work is that it provides means for flexible and intuitive global and local distortion controls.en_US
dc.description.number1en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01309.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1-12en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2008.01309.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleCompression of Human Motion Capture Data Using Motion Pattern Indexingen_US
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