Discriminative estimation of 3D human pose using Gaussian processes

@article{Zhao2008DiscriminativeEO,
  title={Discriminative estimation of 3D human pose using Gaussian processes},
  author={Xu Yang Zhao and Huazhong Ning and Yuncai Liu and Thomas S. Huang},
  journal={2008 19th International Conference on Pattern Recognition},
  year={2008},
  pages={1-4}
}
In this paper, we present an efficient discriminative method for human pose estimation. This method learns a direct mapping from visual observations to human body configurations. The framework requires that the visual features should be powerful enough to discriminate the subtle differences between similar human poses. We propose to describe the image features using salient interest points that are represented by SIFT-like descriptors. The descriptor encode the position, appearance, and local… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 25 CITATIONS

Globally Optimal Estimation of Nonrigid Image Distortion

  • International Journal of Computer Vision
  • 2011
VIEW 6 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Human Pose Regression Through Multiview Visual Fusion

  • IEEE Transactions on Circuits and Systems for Video Technology
  • 2010
VIEW 7 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Athlete pose estimation from single-view TV broadcast footage

VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Covariate Shift Adaptation for Discriminative 3D Pose Estimation

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2012
VIEW 5 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Posture estimation from Kinect image using RVM regression analysis

  • 2015 15th International Conference on Control, Automation and Systems (ICCAS)
  • 2015
VIEW 1 EXCERPT

Motionlet LLC coding for discriminative human pose estimation

  • Multimedia Tools and Applications
  • 2013
VIEW 1 EXCERPT
CITES METHODS

References

Publications referenced by this paper.
SHOWING 1-10 OF 19 REFERENCES

Recovering 3D human pose from monocular images

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2006
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Discriminative density propagation for 3D human motion estimation

  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
  • 2005
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Gaussian Processes for Machine Learning

  • Advanced Lectures on Machine Learning
  • 2009
VIEW 1 EXCERPT

Discriminative learning of visual words for 3D human pose estimation

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition
  • 2008
VIEW 3 EXCERPTS

Recovering 3D human body configurations using shape contexts

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2006
VIEW 2 EXCERPTS

A Bayesian hierarchical model for learning natural scene categories

  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
  • 2005
VIEW 1 EXCERPT

Similar Papers

Loading similar papers…