Template:AutoLabel

Auto-labeling a Take

The auto-labeler labels 3D markers that are associated with active rigid body or skeleton assets (enabled from the Assets pane) in captured Takes. To auto-label Take(s) in post-processing:

  1. Select Takes from the Data Management pane
  2. Right-click to bring up the context menu
  3. Click either auto-label or reconstruct and auto-label to process selected Takes. The combined reconstruct and auto-label will create a new set of 3D data and auto-label the markers from it.
  4. This will label all the markers that matches the corresponding asset definition.


Each trackable asset definition stores respective arrangements of the involved markers, which was recorded when the asset was first created. During the auto-labeling process, Motive labels a set of reconstructed 3D points that resemble marker arrangements of the active assets, and then the corresponding rigid bodies and skeletons get modeled in the 3D view. Markers that are not associated with any of the assets are marked as Unlabeled unless they are manually labeled. After creating new assets in recorded capture, the Take must be auto-labeled again in order to assign respective marker labels.

For Motive 1.10 and above, a separate auto-label pipeline has been added. To auto-label a take, the selected Take must contain 3D data. Unlike the combined reconstruct and auto-label pipeline, the standalone auto-label pipeline labels existing 3D data without reconstructing a new set of 3D data. If 3D data already contains labeled markers, the auto-labeler will respect the existing labels and will not re-label them. Only the unlabeled markers will be labeled via this pipeline, and any post-processing edits that were made will be preserved.


Auto-labeler Settings

The settings for the auto-labeling engine are defined in the Auto-labeler section of the Reconstruction pane. The auto-labeler parameters can be modified during post-processing pipelines, and they can be optimized for stable labeling of markers throughout the Take.


  • Rigid body marker ID’s in 2D data. the rigid body asset is live-solved.
  • In 3D data, rigid body markers are labeled and the corresponding asset is modeled.