Semi-supervised multiple feature analysis for action recognition

IEEE Transactions on Multimedia

Volumn 16, Issue 2, 2014, Pages 289-298

  Wang, Sen ^a   Ma, Zhigang ^b   Yang, Yi ^a   Li, Xue ^a,c   Pang, Chaoyi ^d   Hauptmann, Alexander G ^b  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b Carnegie Mellon University   (United States)

^c CHONGQING UNIVERSITY   (China)

^d CSIRO   (Australia)

Author keywords

Human action recognition; multiple feature learning; semi supervised learning; shared structural analysis

Indexed keywords

ACTION RECOGNITION; BETTER PERFORMANCE; HUMAN-ACTION RECOGNITION; LABELED AND UNLABELED DATA; MULTIPLE FEATURES; SEMI-SUPERVISED LEARNING; SEMI-SUPERVISED METHOD; STATE-OF-THE-ART ALGORITHMS;

ALGORITHMS; GESTURE RECOGNITION; IMAGE RECOGNITION; SAMPLING; STRUCTURAL ANALYSIS; SUPERVISED LEARNING;

MOTION ESTIMATION;

EID: 84893349593     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2013.2293060     Document Type: Article

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