Human Pose Estimation and Tracking via Parsing a Tree Structure Based Human Model

@article{Zhang2014HumanPE,
  title={Human Pose Estimation and Tracking via Parsing a Tree Structure Based Human Model},
  author={Xiaoqin Zhang and Changcheng Li and Weiming Hu and Xiaofeng Tong and Stephen J. Maybank and Yimin Zhang},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems},
  year={2014},
  volume={44},
  pages={580-592}
}
Human pose estimation and tracking is the task of determining the states (location, orientation, and scale) of each body part over time. It is important for many vision understanding applications, such as visual interactive gaming, immersive virtual reality, visual surveillance, and content-based image retrieval. However, it remains a challenging task due to unknown image background, presence of clutter and especially the high dimensional state space (usually 30+ dimensions). In this paper, we… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 50 references

Articulated human pose estimation and search in almost unconstrained still images

M. Eichner, M. Marin-Jimenez, A. Zisserman, V. Ferrari
ETH Zurich, Zurich, Switzerland, Tech. Rep., 272, 2010. • 2010
View 5 Excerpts
Highly Influenced

Articulated pose estimation with flexible mixtures-of-parts

CVPR 2011 • 2011
View 3 Excerpts
Highly Influenced

Body Localization in Still Images Using Hierarchical Models and Hybrid Search

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) • 2006
View 4 Excerpts
Highly Influenced

Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) • 2006
View 3 Excerpts
Highly Influenced

Learning to estimate human pose with data driven belief propagation

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) • 2005
View 4 Excerpts
Highly Influenced

Pictorial Structures for Object Recognition

International Journal of Computer Vision • 2004
View 3 Excerpts
Highly Influenced

Adaptive pose priors for pictorial structures

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition • 2010
View 1 Excerpt

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