Human pose estimation using structural support vector machines

@article{Chen2011HumanPE,
  title={Human pose estimation using structural support vector machines},
  author={Ke Chen and Shaogang Gong and Tao Xiang},
  journal={2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)},
  year={2011},
  pages={846-851}
}
This paper addresses the issue of 2D human upper-body pose estimation under cluttered environments using a discriminative structured framework. Most previous approaches focus on solving such a problem using generative models. However, a generative model has two drawbacks: a) not suitable for real-time application due to its slow inference algorithm and b) prone to over fitting given limited training data. In this work, we propose to use structured discriminative regression models for 2D human… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 18 REFERENCES

Similar Papers

Loading similar papers…