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arXiv · 2206.11678

BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation

Ivan Grishchenko·Valentin Bazarevsky·Andrei Zanfir·Eduard Gabriel Bazavan·Mihai Zanfir·Richard Yee·Karthik Raveendran·Matsvei Zhdanovich·Matthias Grundmann·Cristian Sminchisescu
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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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Ivan Grishchenko, Valentin Bazarevsky, Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, Richard Yee, Karthik Raveendran, Matsvei Zhdanovich, Matthias Grundmann, Cristian Sminchisescu. 2022-06-23. BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation. https://arxiv.org/abs/2206.11678

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