Tracking is analysis before compositing
A tracking node measures motion. Its most valuable output is not the tracker UI itself but the motion data that can be applied elsewhere: to a Transform, corner pin, mask, graphic, stabilization operation or 3D camera.
That is why tracking should be thought of as a control-data stage. The visual result appears only after another element uses the measured motion.
Different motion models
A point tracker follows one or more local features. Planar tracking models the motion of a flat region and is well suited to screens, signs and surfaces that preserve a planar relationship. Surface tracking is designed for more complex deforming or non-rigid surfaces.
Camera tracking solves a different problem: it estimates the motion of the real camera and reconstructs a 3D relationship from many image features. It is useful when new 3D elements must share the original shot's perspective and camera movement.
Choosing the right tracker
Choose the simplest motion model that actually matches the shot. A stable point with simple movement may only need Tracker. A phone or monitor replacement usually benefits from Planar Tracker. A moving face or flexible surface may call for surface-aware tracking. A full scene extension can justify Camera Tracker.
Using a more complex tracker does not guarantee a better result. The solve quality depends on visible detail, motion blur, occlusion, parallax and whether the chosen model matches the physical motion in the image.
Where tracking data goes
Tracked motion can drive a PlanarTransform, corner positioner, ordinary Transform, mask animation or stabilization step. Camera tracking can produce a 3D camera and scene references that become part of a classic 3D branch.
The tracker is therefore often upstream of the actual effect. A clean Flow keeps the analysis stage understandable and separates it from the graphics or cleanup branch that consumes the solve.
Signs of a bad track
Watch for sudden jumps, slow drift, inconsistent perspective, a replacement sliding across the surface or a camera solve whose 3D points do not remain attached to real features. Those symptoms usually mean the analysis should be fixed before adding more effects.
Masking occlusions, choosing stronger features, shortening the tracked range or switching the tracking model is often more effective than trying to hide a bad solve with downstream transforms.
Practical tracking scenarios
Use a point Tracker when a small feature provides a stable reference for position, scale or rotation. It is ideal for attaching simple graphics, stabilizing a shot or driving a transform from clearly defined points.
Use Planar Tracker when the target behaves like a surface: a screen, sign, wall, package or patch of ground. The resulting planar motion can drive corner pinning, Planar Transform, masks and cleanup work more reliably than several unrelated point tracks.
Use Camera Tracker when the task is to reconstruct camera motion and a usable 3D relationship from the plate. Surface Tracker is better for deforming or non-rigid areas where a single plane does not describe the motion well.
Verify the track before building the effect
A track is control data, so small errors become larger once text, paint, cleanup or 3D elements are attached to it. Inspect the track over the full shot before spending time polishing the downstream composite.
Look for drift, sudden jumps, slipping perspective and sections where the tracked feature is occluded or changes shape. Correct, retrack or limit the usable range before transferring the motion to other nodes.
A good workflow separates analysis from compositing: solve the motion first, validate it with a simple test element, and only then connect the finished track to the production graphic, mask, corner pin or camera.