Efficient regression of general-activity human poses from depth images

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 415-422

  Girshick, Ross ^a,b   Shotton, Jamie ^a   Kohli, Pushmeet ^a   Criminisi, Antonio ^a   Fitzgibbon, Andrew ^a  

^a MICROSOFT RESEARCH   (United Kingdom)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DEPTH IMAGE; FRAMES PER SECONDS; HUMAN POSE; HUMAN POSE ESTIMATIONS; IMAGING MODALITY; INTERMEDIATE REPRESENTATIONS; POSE ESTIMATION; REAL-TIME PREDICTION; STATE OF THE ART; TEST SETS; TRAINING SETS;

ELECTRICAL ENGINEERING;

IMAGE PROCESSING;

EID: 84856653054     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126270     Document Type: Conference Paper

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