Computer vision pipeline

Dance motion capture from a normal practice video

Sway uses computer vision to turn raw rehearsal footage into dancer tracking, identity-aware 3D body meshes, and motion capture review that can help choreographers clean spacing and timing.

  • Use regular phone or camera footage as the input, then track dancers through the clip.
  • Lift motion into a 3D mesh world so spacing, travel paths, and timing problems are easier to inspect.
  • Connect video evidence back to Sway formation planning, rehearsal feedback, and future motion capture workflows.

Quick answer

What Sway does

Sway Formations helps choreographers, captains, coaches, and dancers plan stage formations on desktop, connect transitions and timing, manage a roster, and review the latest positions on mobile.

Covered topics

  • Dance motion capture
  • Computer vision pipeline
  • Video to 3D body mesh
  • Dancer tracking
  • Choreography video analysis

Motion capture video examples

Small-group motion capture from one phone video

A two-dancer rehearsal clip becomes aligned 3D bodies on a ground plane for timing, spacing, and partner travel review.

Open video file

Team-scale tracking through a crowded formation

A nine-dancer practice video becomes a readable 3D world for formation cleanup and motion capture review.

Open video file

Phone-first video to full-body 3D motion

Portrait rehearsal footage produces dancer-specific mesh motion without studio suits, markers, or a capture volume.

Open video file

Frequently asked questions

Can Sway use regular dance videos for motion capture?

The CV pipeline is designed around normal practice footage: a phone or camera video is analyzed for dancers, identities, poses, and 3D body motion instead of requiring studio markers.

How is this different from a pose overlay?

A pose overlay shows 2D joints on top of the video. The 3D mesh pass reconstructs body motion in a shared world, which is more useful for spacing, collision checks, formation cleanup, and motion capture review.