XNect : Real-time Multi-person 3 D Human Pose Estimation with a Single RGB

@inproceedings{Camera2019XNectR,
  title={XNect : Real-time Multi-person 3 D Human Pose Estimation with a Single RGB},
  author={Camera and DUSHYANTMEHTA and MO - and HAMEDELGHARIB and Pascal Fua and Helmut Seidel and GERARDPONS-MOLL and Christian Theobalt},
  year={2019}
}
Fig. 1. Our real-time monocular RGB based 3D motion capture provides temporally coherent estimates of the full 3D pose of multiple people in the scene, handling occlusions and interactions in general scene settings, and localizing subjects relative to the camera. Our design allows the system to handle large groups of people in the scene with the run-time only minimally affected by the number of people in the scene. Our method yields full skeletal pose in terms of joint angles, which can readily… CONTINUE READING

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