PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth

@inproceedings{Vineet2013PoseFieldAE,
  title={PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth},
  author={Vibhav Vineet and Glenn Sheasby and Jonathan Warrell and Philip H. S. Torr},
  booktitle={EMMCVPR},
  year={2013}
}
Many models have been proposed to estimate human pose and segmentation by leveraging information from several sources. A standard approach is to formulate it in a dual decomposition framework. However, these models generally suffer from the problem of high computational complexity. In this work, we propose PoseField, a new highly efficient filter-based mean-field inference approach for jointly estimating human segmentation, pose, per-pixel body parts, and depth given stereo pairs of images. We… CONTINUE READING
Highly Cited
This paper has 17 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 12 extracted citations

Efficient 2D human pose estimation using mean-shift

2014 IEEE International Conference on Image Processing (ICIP) • 2014
View 5 Excerpts
Highly Influenced

Human Pose Estimation with Fields of Parts

View 5 Excerpts
Highly Influenced

Deep Learning Markov Random Field for Semantic Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2018

Multi-modal Mean-Fields via Cardinality-Based Clamping

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2017
View 1 Excerpt

Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016

Semantic Image Segmentation via Deep Parsing Network

2015 IEEE International Conference on Computer Vision (ICCV) • 2015
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 22 references

Articulated pose estimation with flexible mixtures-of-parts

CVPR 2011 • 2011
View 4 Excerpts
Highly Influenced

Progressive search space reduction for human pose estimation

2008 IEEE Conference on Computer Vision and Pattern Recognition • 2008
View 7 Excerpts
Highly Influenced

Conditional regression forests for human pose estimation

2012 IEEE Conference on Computer Vision and Pattern Recognition • 2012

Similar Papers

Loading similar papers…