Rollyn T. Labuguen

This paper develops a monkey pose estimation system using OpenPose, achieving performance comparable to human models and running in real-time.

The paper introduces MacaquePose, a dataset for markerless motion capture of macaques, showing neural network performance comparable to human-level pose estimation.

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.