BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation
Ivan Grishchenko
Valentin Bazarevsky
Andrei Zanfir
Eduard Gabriel Bazavan
M. Zanfir
Richard Yee
Karthik Raveendran
M. Zhdanovich
Matthias Grundmann
C. Sminchisescu

Abstract
We present BlazePose GHUM Holistic, a lightweight neural network pipeline for 3D human body landmarks and pose estimation, specifically tailored to real-time on-device inference. BlazePose GHUM Holistic enables motion capture from a single RGB image including avatar control, fitness tracking and AR/VR effects. Our main contributions include i) a novel method for 3D ground truth data acquisition, ii) updated 3D body tracking with additional hand landmarks and iii) full body pose estimation from a monocular image.
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