Marker-less motion capture system using OpenPose

B. Feng; D. W. Powell; A. Doblas

doi:10.1117/12.2619059

27 May 2022 Marker-less motion capture system using OpenPose

B. Feng, D. W. Powell, A. Doblas

Proceedings Volume 12101, Pattern Recognition and Tracking XXXIII; 121010B (2022) https://doi.org/10.1117/12.2619059
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Motion capture systems are widely used to measure athletic performance and as a diagnostic tool in sports medicine. Standard motion capture systems record body movement using: (1) a set of cameras to localize body segments; or (2) specialized suits in which inertial measurement units are directly attached to body segments. The major drawbacks of these systems are limited portability, affordability, and accessibility. This contribution presents a markerless motion capture system using a commercially available sports camera and the OpenPose human pose estimation algorithm. We have validated the proposed markerless system by analyzing the human biometrics during running and jumping movements.

Conference Presentation

Citation Download Citation

B. Feng, D. W. Powell, and A. Doblas "Marker-less motion capture system using OpenPose", Proc. SPIE 12101, Pattern Recognition and Tracking XXXIII, 121010B (27 May 2022); https://doi.org/10.1117/12.2619059

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