A deep structure for human pose estimation

Signal Processing

Volumn 108, Issue , 2015, Pages 36-45

  Zhao, Lin ^a   Gao, Xinbo ^a   Tao, Dacheng ^b   Li, Xuelong ^c  

^a XIDIAN UNIVERSITY   (China)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^c XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

Author keywords

Articulated shapes; Deformable part models; Human detection; Pose estimation

Indexed keywords

TREES (MATHEMATICS);

ARTICULATED SHAPES; DEFORMABLE PART MODELS; DIFFERENT GRANULARITIES; HUMAN DETECTION; HUMAN POSE ESTIMATIONS; POSE ESTIMATION; SPATIAL RELATIONSHIPS; STATE-OF-THE-ART APPROACH;

NETWORK LAYERS;

EID: 84907889458     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2014.07.031     Document Type: Article

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