On the improvement of human action recognition from depth map sequences using Space-Time Occupancy Patterns

Pattern Recognition Letters

Volumn 36, Issue 1, 2014, Pages 221-227

  Vieira, Antonio W ^a,b   Nascimento, Erickson R ^a   Oliveira, Gabriel L ^a   Liu, Zicheng ^c   Campos, Mario F M ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b CCET Unimontes   (Brazil)

^c MICROSOFT RESEARCH   (United States)

Author keywords

Depth map; Human action; Pattern recognition

Indexed keywords

CELLS; CYTOLOGY; VECTOR SPACES;

AUTOMATIC SEGMENTATIONS; CONTEXTUAL INFORMATION; DEPTH MAP; DIMENSIONALITY REDUCTION; HIGH DIMENSIONAL FEATURE; HUMAN ACTIONS; HUMAN-ACTION RECOGNITION; VISUAL REPRESENTATIONS;

PATTERN RECOGNITION;

EID: 84893704329     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2013.07.011     Document Type: Article

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