Bio-inspired dynamic 3D discriminative skeletal features for human action recognition

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn , Issue , 2013, Pages 471-478

  Chaudhry, Rizwan ^a   Ofli, Ferda ^b   Kurillo, Gregorij ^b   Bajcsy, Ruzena ^b   Vidal, Rene ^a  

^a Johns Hopkins University   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D SURFACE MESHES; ACTION RECOGNITION; CLASSIFICATION FRAMEWORK; HUMAN ACTIVITY RECOGNITION; HUMAN-ACTION RECOGNITION; LINEAR DYNAMICAL SYSTEMS; SPATIO-TEMPORAL SCALE; STATE-OF-THE-ART METHODS;

ENCODING (SYMBOLS); GESTURE RECOGNITION; IMAGE RECOGNITION; LINEAR CONTROL SYSTEMS; THREE DIMENSIONAL;

MOTION ESTIMATION;

EID: 84884947071     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2013.153     Document Type: Conference Paper

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