Estimating human pose with flowing puppets

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 3312-3319

  Zuffi, Silvia ^a,c   Romero, Javier ^b   Schmid, Cordelia ^d   Black, Michael J ^b  

^a Brown Univerity   (United States)

^b MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

^c CNR   (Italy)

^d INRIA   (France)

Author keywords

human pose estimation; optical flow; video

Indexed keywords

OPTICAL FLOWS; TARGET TRACKING; VIDEO RECORDING;

ADJACENT FRAMES; ARTICULATED MOTION; DENSE OPTICAL FLOW; HUMAN POSE ESTIMATIONS; MONOCULAR VIDEO SEQUENCES; PRIOR KNOWLEDGE; STATE-OF-THE-ART PERFORMANCE; VIDEO;

MOTION ESTIMATION;

EID: 84898823761     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.411     Document Type: Conference Paper

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