You2Me - Inferring Body Pose in Egocentric Video via First and Second Person Interactions

Evonne Ng
Evonne Ng
Donglai Xiang
Donglai Xiang
Hanbyul Joo
Hanbyul Joo

CVPR, pp. 9887-9897, 2020.

Cited by: 0|Bibtex|Views36|DOI:https://doi.org/10.1109/CVPR42600.2020.00991
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

The body pose of a person wearing a camera is of great interest for applications in augmented reality, healthcare, and robotics, yet much of the person\u0027s body is out of view for a typical wearable camera. We propose a learning-based approach to estimate the camera wearer\u0027s 3D body pose from egocentric video sequences. Our key in...More

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