Scale-independent spatio-temporal statistical shape representations for 3D human action recognition

ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods

Volumn 1, Issue , 2012, Pages 288-294

  Körner, Marco ^a   Haase, Daniel ^a   Denzler, Joachim ^a  

^a FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

Author keywords

Human action recognition; Manifold learning; PCA; Shape model

Indexed keywords

3D DATA; DATA SETS; EXECUTION SPEED; HUMAN ACTIONS; HUMAN-ACTION RECOGNITION; MANIFOLD LEARNING; MEASURING DEVICE; MOTION CAPTURE; PCA; REAL-WORLD SCENARIO; RECOGNITION RATES; SHAPE MODEL; SPATIO-TEMPORAL; STATISTICAL SHAPES; TEMPORAL INFORMATION;

GESTURE RECOGNITION; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS;

THREE DIMENSIONAL;

EID: 84862165178     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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