Elastic functional coding of human actions: From vector-fields to latent variables

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 07-12-June-2015, Issue , 2015, Pages 3147-3155

  Anirudh, Rushil ^a,b   Turaga, Pavan ^a,b   Su, Jingyong ^c   Srivastava, Anuj ^d  

^a Arizona State University   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

^c TEXAS TECH UNIVERSITY   (United States)

^d FLORIDA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; EQUIVALENCE CLASSES; GESTURE RECOGNITION; IMAGE RECOGNITION; MOTION ESTIMATION; PATTERN RECOGNITION; TRAJECTORIES; VISUALIZATION;

ACTION RECOGNITION; HIGH-DIMENSIONAL FEATURE SPACE; LOW DIMENSIONAL EMBEDDING; LOWER DIMENSIONAL MANIFOLDS; MANIFOLD LEARNING; RIEMANNIAN MANIFOLD; SEARCH AND RETRIEVAL; TEMPORAL VARIABILITY;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84959193616     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298934     Document Type: Conference Paper

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