Mining mid-level features for action recognition based on effective skeleton representation

2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014

Volumn , Issue , 2015, Pages

  Wang, Pichao ^a   Li, Wanqing ^a   Ogunbona, Philip ^a   Gao, Zhimin ^a   Zhang, Hanling ^b  

^a UNIVERSITY OF WOLLONGONG   (Australia)

^b HUNAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING;

ACTION RECOGNITION; ACTION REPRESENTATIONS; FREQUENT PATTERN MINING; HUMAN-ACTION RECOGNITION; MID-LEVEL FEATURES; SKELETON JOINTS; SPATIAL RELATIONSHIPS; STATE OF THE ART;

JOINTS (ANATOMY);

EID: 84922566687     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTA.2014.7008115     Document Type: Conference Paper

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