Performance Evaluation of Markerless 3D Skeleton Pose Estimates with Pop Dance Motion Sequence
| Autor: | Wally Enrico M. Ingco, Rollyn Labuguen, Salvador Blanco Negrete, Tomohiro Shibata, Tonan Kogami |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Ground truth
Dance business.industry Computer science 3D reconstruction Work (physics) 020207 software engineering 02 engineering and technology Motion capture Motion (physics) Synchronization (computer science) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Pose Camera resectioning |
| DOI: | 10.1101/2020.04.15.010702 |
| Popis: | The evaluation of markerless pose estimation performed by OpenPose has been getting much attention from researchers of human movement studies. This work aims to evaluate and compare the output joint positions estimated by the OpenPose with a marker-based motion-capture data recorded on a pop dance motion. Although the marker-based motion capture can accurately measure and record the human joint positions, this particular set-up is expensive. The framework to compare the outputs of the markerless method to the ground truth marker-based joint remains unknown, especially for complex body motion. Synchronization, camera calibration, and 3D reconstruction by fusing the outputs of the markerless method (OpenPose) are discussed. In this case study, the comparison results illustrate that the mean absolute errors for each key points are less than 700 mm. Contribution: This work contributes for human movement science by evaluating the OpenPose markerless 3D reconstruction pose with the marker-based motion-capture data recorded on pop dance motion. |
| Databáze: | OpenAIRE |
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