A foundational overview: marker-based vs markerless pose estimation, the OpenPose/MediaPipe/MeTRAbs coordinate systems, ~10 degree accuracy and why errors happen, kinematics vs kinetics, capture frameworks, and a single-camera to OpenSim example.
A practical getting-started guide to two free markerless motion-capture tools: OpenPose (install the demo, fix the models, run it) and OpenCap (2 iOS cameras, calibration, and 3D capture).
Part 5 (finale): kinetic/dynamic simulation with OpenSim Moco and automatic differentiation – muscle activations and ground reaction forces from the reconstructed motion.
Part 4: driving an OpenSim model with the reconstructed motion – convert to .trc, LSTM marker augmentation (OpenCap), scale the model, and run inverse kinematics.
Part 3: triangulating 2D keypoints into 3D with the DLT, weighting by OpenPose confidence, person tracking, residual-analysis filtering, and reprojection-error optimization.
Part 2: fixing lens distortion with MATLAB Camera Calibrator, camera intrinsics/extrinsics, the projection matrix (DLT + calibration cage, 12 cameras), and bundle adjustment.
Part 1 of a 5-part series: install OpenPose, fetch the models, fix the common VC++ error, and run it from the command line to get 2D pose data.