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Virtual reality / Skeletal system / 3D computer graphics / Learning / Gesture recognition / Motion capture / Joint / Feature / Machine learning / Imaging / Vision / Optics


Sequence of the Most Informative Joints (SMIJ): A New Representation for Human Skeletal Action Recognition Ferda Ofli1 , Rizwan Chaudhry2 , Gregorij Kurillo1 , Ren´e Vidal2 and Ruzena Bajcsy1 1 Tele-immersion Lab, Unive
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Document Date: 2014-10-06 10:54:09

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City

San Leandro / /

Company

Neural Information Processing Systems / PhaseSpace Inc / Linear Dynamical Systems / Microsoft / NonLinear Dynamical Systems / /

Facility

University of California / /

IndustryTerm

classification algorithm / real-time 3D acquisition systems / deep belief networks / Motion capture systems / dynamical systems / variance operator / 3D capturing systems / energy / /

Organization

University of California / Berkeley / Johns Hopkins University / Tele-immersion Lab / National Science Foundation / SVM SMIJ / Pattern Analysis and Machine Intelligence / Center for Imaging Sciences / /

Person

P. Doll´ar / V / /

Product

Levenshtein / /

ProvinceOrState

California / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / /

Technology

Machine learning / animation / classification algorithm / gesture recognition / /

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