Performance Evaluation of Markerless 3D Skeleton Pose Estimates with Pop Dance Motion Sequence
Rollyn T. Labuguen, Wally Enrico M. Ingco, Salvador Blanco Negrete, Tonan Kogami, Tomohiro Shibata
This paper evaluates OpenPose's markerless 3D skeleton pose estimates against marker-based motion capture data for pop dance movements, showing average magnitude errors under 700 mm despite self-occlusions.
International Conference on Informatics, Electronics & Vision (ICIEV) · Aug 26, 2020Peer-reviewedNeuroscience