2D human pose estimation: New benchmark and state of the art analysis

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2014, Pages 3686-3693

  Andriluka, Mykhaylo ^a,c   Pishchulin, Leonid ^a   Gehler, Peter ^b   Schiele, Bernt ^a  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^b MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

^c STANFORD UNIVERSITY   (United States)

Author keywords

human pose estimation; performance evaluation

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING; SOFTWARE ENGINEERING;

GAINING INSIGHTS; HUMAN ACTIVITIES; HUMAN BODY MODELS; HUMAN POSE ESTIMATIONS; MOTION INFORMATION; PERFORMANCE EVALUATION; POSE ESTIMATION; STATE OF THE ART;

PATTERN RECOGNITION;

EID: 84911448580     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.471     Document Type: Conference Paper

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