Spatio-temporal naive-bayes nearest-neighbor (ST-NBNN) for skeleton-based action recognition

Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017

Volumn 2017-January, Issue , 2017, Pages 445-454

  Weng, Junwu ^a   Weng, Chaoqun ^a   Yuan, Junsong ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTER VISION; DEEP LEARNING; MUSCULOSKELETAL SYSTEM;

ACTION CLASSIFICATIONS; ACTION RECOGNITION; BENCHMARK DATASETS; COMPETITIVE PERFORMANCE; LINEAR CLASSIFIERS; NONPARAMETRIC METHODS; SPATIO-TEMPORAL STRUCTURES; SPATIOTEMPORAL PATTERNS;

PATTERN RECOGNITION;

EID: 85044256751     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2017.55     Document Type: Conference Paper

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