Motion 6.3
Motion 6.0
Motion 5.11
Motion 5.10
Motion 5.9
Motion 5.8
Motion 5.7
Motion 5.6.6
Motion 5.6.4
Motion 5.6.1
Motion 5.6
Motion 5.5.2
Motion 5.5.1
Motion 5.5
Motion 5.4.6
Motion 5.4.4
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Analyze Motion controls in Motion

The Analyze Motion behavior analyzes and stores tracking data from a video clip or image sequence but does not transform the tracked footage. Analyze Motion data tracks are meant to be referenced by the Match Move, Stabilize, Track Parameter, and Track Shape behaviors.

After you apply an Analyze Motion behavior to an object in your project, adjust the behavior using the parameter controls in the Behaviors Inspector:

  • Analyze: Three buttons used for the motion tracking analysis:

    • Left arrows: Analyzes the portion of the clip before the playhead position.

    • Analyze: Analyzes the entire clip forward from the playhead position to the end of the clip (or to where the reference pattern can no longer be tracked), then backward from the playhead position to the beginning of the clip.

    • Right arrows: Analyzes the portion of the clip after the playhead position.

      The start frame of the track analysis is based on the current playhead position, rather than the beginning of the behavior bar in the Timeline.

  • Mode: A pop-up menu to choose the tracking analysis mode. There are two options:

    • Object: Choose to track subjects such as people or faces, pets, cars, or other reference patterns using machine learning or point cloud analysis methods, or a combination of both.

    • Point: Choose to track one or more specific points—or a very specific feature—in a clip.

  • Analysis Method: Available when Mode is set to Object, a pop-up menu to set how the selected reference pattern is analyzed. There are four options:

    • Automatic: Evaluates the clip, then attempts to select the most suitable analysis method.

    • Combined: Uses a combination of the Machine Learning and Point Cloud analysis methods to track position, scale, and rotation.

    • Machine Learning: Uses a machine learning model trained on a dataset to identify people, animals, and many other common objects, allowing the tracker follow the subject in a specified region of video.

    • Point Cloud: Analyzes a “cloud” of point positions (or a pattern) within a search region.

  • Detect: Available when Mode is set to Object, a pop-up menu to turn automatic face detection on or off.

  • Show Grid: Available when Mode is set to Object, a checkbox that shows or hides the grid in the onscreen object tracker.

  • Shape: Available when Mode is set to Object, a group of controls used to adjust the onscreen object tracker:

    • Curvature: A slider to increase or decrease the roundness of the object tracker.

    • Position: Value sliders to adjust the position of the object tracker.

    • Rotation: A dial to adjust the rotation of the object tracker.

    • Scale: A slider to adjust the size of the object tracker.

  • Tracker: Available when Mode is set to Point, a row that contains an Add button to add onscreen trackers.

  • Tracker Preview: Available when Mode is set to Point, a preview providing a magnified view of the tracking reference area for a selected tracker. The preview updates as you adjust the position of the tracker in the canvas. You can also drag in the preview area to adjust the position of the tracker. When you do so, the image in the preview area moves around the red crosshair representing the tracker, and the tracker moves in the canvas. You can also Option-drag left or right in the preview area to decrease or increase the size of the reference pattern to be analyzed in the canvas. (Alternatively, you can adjust the Track Size slider, described below, to achieve the same result.)

  • Offset Track: A checkbox that, when selected, lets you set a new tracker position when the original reference pattern becomes temporarily obstructed by an obstacle, or goes off the screen. Motion uses the tracker position to continue the same tracking path begun by the original reference pattern. For more information on offset tracking, see Track obscured or off-frame points.

  • Auto-Zoom: Available when Mode is set to Point, a pop-up menu to choose a magnification level when positioning the tracker in the canvas. You can zoom in on the canvas when searching for an ideal tracking reference pattern. There are five options: None, 2x, 4x, 8x, and 16x.

  • Auto-Zoom Mode: Available when Mode is set to Point, a pop-up menu to set the display of the auto-zoomed tracker in the canvas. There are three options:

    • Normal: Displays a normal pattern.

    • Contrast: Displays the tracker pattern with contrast detection.

    • Edge: Displays the tracker pattern with edge detection.

      The Auto-Zoom Mode applies to trackers in the canvas and does not affect the Tracker Preview in the Behaviors Inspector.

      Note: When Auto-Zoom is set to None, the Auto-Zoom Mode setting has no effect.

  • Look Ahead Frames: Available when Mode is set to Point, a slider and value slider to specify the number of future frames to be analyzed by the tracker. In other words, you can direct the tracker to look in a specific location for its reference point, which helps the tracker follow fast-moving objects. For more information about the Look Ahead Frames control, see Advanced tracking strategies.

  • Track 1, Track 2, and so on: Available when Mode is set to Point, a list displaying the trackers in the behavior. To disable a tracker, deselect its checkbox. (Disabled trackers are not analyzed.) To remove a tracker, click its adjacent Remove button. To expose the following additional track controls, move the pointer over the track row, then click Show:

    • Position: Value sliders displaying the X and Y positions of the tracker.

    • Track Size: A slider to set (in pixels) the pattern search size for the tracker. As you adjust the tracker size, the Tracker Preview is updated to show the new pattern search size. However, there’s no visual change in the onscreen tracker.

      Alternatively, you can adjust the Track Size parameter by Option-dragging left or right in the Tracker Preview area.

    • Search Size: A slider to set search area size for the tracker. In Motion, you do not specify the size of a search area when setting up trackers in the canvas. If your clip contains a lot of rapid movement, you may have better results increasing the Search Size. For example, if Search Size is set to 150%, the tracker searches 50% further beyond the Track Size setting.

    • Fail Tolerance: A slider to set the amount of tolerance for error, or confidence value, of the tracker. In other words, Fail Tolerance defines a threshold score at which the tracker determines it can match a reference feature. When the analysis yields a score above the Fail Tolerance value, the tracker accepts the match. When the score is below the value, the tracker rejects the match.

    • Fail Behavior: A pop-up menu to specify what happens if the track confidence value falls below the Fail Tolerance amount. There are six menu options:

      • Smart Retry: The tracker attempts to find the reference pattern in a larger search area. If the pattern still can’t be found, the tracker switches to the Predict option (described below). Smart Retry is the default Fail Behavior setting.

      • Stop: The analysis stops when the tracker loses the reference pattern.

      • Predict: The tracker predicts a new search area without creating keyframes until it finds a match for the reference pattern. This option is excellent for tracked elements that pass behind foreground elements.

      • Predict and Key: If a failure is detected, the tracker predicts the location of the next track point (keyframe) based on a vector of the last two keyframes and continues tracking in the new area.

      • Don’t Predict: The tracker remains in its position and searches for subsequent matches as the clip’s frames progress. While searching for a match, the tracker does not create keyframes.

      • Use Existing Keyframes: The tracker uses keyframes you have manually created as a guide. After manually adding keyframes, return to the start frame and start the tracking analysis. If the tracker has difficulty locating the reference pattern, the manually created tracking keyframes help guide the tracker.

    • Color: A color control to set a new color for the onscreen tracker. The default tracker color is red. A selected tracker is yellow. When a tracker is being positioned, its center crosshair is yellow and the border of its magnified inset is the color set in the color well. To adjust individual color channels, including the tracker’s opacity, click the disclosure triangle. For more information about color controls, see Use basic color controls.

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