Visual Hand Tracking Using Nonparametric Belief Propagation

@article{Sudderth2004VisualHT,
  title={Visual Hand Tracking Using Nonparametric Belief Propagation},
  author={Erik B. Sudderth and Michael I. Mandel and William T. Freeman and Alan S. Willsky},
  journal={2004 Conference on Computer Vision and Pattern Recognition Workshop},
  year={2004},
  pages={189-189}
}
This paper develops probabilistic methods for visual tracking of a three-dimensional geometric hand model from monocular image sequences. We consider a redundant representation in which each model component is described by its position and orientation in the world coordinate frame. A prior model is then defined which enforces the kinematic constraints implied by the model's joints. We show that this prior has a local structure, and is in fact a pairwise Markov random field. Furthermore, our… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 136 CITATIONS, ESTIMATED 44% COVERAGE

307 Citations

0102030'06'09'12'15'18
Citations per Year
Semantic Scholar estimates that this publication has 307 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…