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Title:
HUMAN POSE ESTIMATION WITH DATA DRIVEN BELIEF PROPAGATION
Document Type and Number:
WIPO Patent Application WO2006052853
Kind Code:
A3
Abstract:
A statistical formulation estimates two-dimensional human pose from single images. This is based on a Markov network (200) and on inferring pose parameters from cues such as appearance, shape, edge, and color. A data driven belief propagation Monte Carlo algorithm (336) performs efficient Bayesian inferencing within a rigorous statistical framework. Experimental results demonstrate the effectiveness of the method in estimating human pose from single imagess.

Inventors:
YANG MING-HSUAN (US)
HUA GANG (US)
Application Number:
PCT/US2005/040225
Publication Date:
December 14, 2006
Filing Date:
November 04, 2005
Export Citation:
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Assignee:
HONDA MOTOR CO LTD (JP)
YANG MING-HSUAN (US)
HUA GANG (US)
International Classes:
G06K9/00; G06K9/62
Other References:
LEE ET AL.: "Proposal maps driven MCMC for estimating human body pose in static images", IEEE, June 2004 (2004-06-01), pages 1 - 8, XP010708664
SULLIVAN ET AL.: "Recognizing and tracking human action", EUROPEAN CONFERENCE ON COMPUTER VISION, LNCS, vol. 1, XP003005012
BLACK M.: "Inferring 3D people from 2D images", DEPARTMENT OF COMPUTER SCIENCE, BROWN UNIVERSITY, August 2003 (2003-08-01), XP003005011
LIN ET AL.: "Capturing human band motion in image sequences", IEEE, May 2002 (2002-05-01), pages 99 - 104, XP010628787
MOESLUND ET AL.: "Sequential monte carlo tracking of body parameters in a sub-space", IEEE, March 2003 (2003-03-01), pages 84 - 91, XP010664350
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