Human pose estimation with data driven belief propagation
US7212665B2 · kind B2 · utility
38Cited by
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21Claims
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Key dates
| Filing date | Nov 3, 2005 |
| Grant date | May 1, 2007 |
| Priority date | — |
| Expiry date | Nov 3, 2025 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A statistical formulation estimates two-dimensional human pose from single images. This is based on a Markov network and on inferring pose parameters from cues such as appearance, shape, edge, and color. A data-driven belief propagation Monte Carlo algorithm performs efficient Bayesian inferencing within a rigorous statistical framework. Experimental results demonstrate the effectiveness of the method in estimating human pose from single images.
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