Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input

@article{Mehta2017SingleShotM3,
  title={Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input},
  author={Dushyant Mehta and Oleksandr Sotnychenko and Franziska Mueller and Weipeng Xu and Srinath Sridhar and Gerard Pons-Moll and Christian Theobalt},
  journal={ArXiv},
  year={2017},
  volume={abs/1712.03453}
}
We propose a new efficient single-shot method for multi-person 3D pose estimation in general scenes from a monocular RGB camera. Our fully convolutional DNN-based approach jointly infers 2D and 3D joint locations on the basis of an extended 3D location map supported by body part associations. This new formulation enables the readout of full body poses at a subset of visible joints without the need for explicit bounding box tracking. It therefore succeeds even under strong partial body… CONTINUE READING

Citations

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  • ICIP 2019
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  • 2018 20th Symposium on Virtual and Augmented Reality (SVR)
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