# Image Tracking

Image tracking allows your application to recognize and track specific images in the real world.

This feature is based on AR Foundation’s image tracking. For basic information about image tracking and what AR Foundation’s `AR Tracked Image Manager` component does, see the [Unity documentation](https://docs.unity3d.com/Packages/com.unity.xr.arfoundation&#64;5.1/manual/features/image-tracking.html).

Image targets are fed to the underlying XR plugin through an `XR Reference Image Library`. The added image has a name which is useful for identifying a tracked target later on, and an important flag **Keep Texture at Runtime** which should set to true. This enables the subsystem to pass the texture data to the Snapdragon Spaces Services for tracking purposes.

## How to enable the feature

In order to use Image Tracking, it has to be enabled in the OpenXR plugin settings located under **Project Settings &gt; XR Plug-in Management &gt; OpenXR (&gt; Android Tab) &gt; OpenXR Feature Groups &gt; Snapdragon Spaces &gt; Image Tracking**.

![../../_images/enable-image-tracking-spaces.png](data:image/png;base64,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)

Note

This feature is currently not available for Android XR devices!

## Feature settings

The feature settings can be accessed by clicking on the cog wheel on the right of the feature in the plugin settings.

![../../_images/image-tracking-feature-settings.png](data:image/png;base64,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)

Image Tracking has two feature settings:

- **Extended Range Mode**: Used by the application to indicate that it prefers tracking to be optimized for long range, possibly at the expense of competing interests.
- **Low Power Mode**: Used by the application to indicate that it prefers tracking to be optimized for low power consumption, possibly at the expense of competing interests.

## Spaces Reference Image Configurator

![../../_images/spaces-reference-image-configurator.png](data:image/png;base64,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)

The optional **Spaces Reference Image Configurator** component may be added to the same GameObject as the `ARTrackedImageManager`. This component provides additional configuration options for each tracked image.

The **Tracking Mode** field allows one of three different tracking modes to be defined per image:

- *Dynamic (Default)* - Dynamic mode updates the position of tracked images every frame, and works on moving and static targets. If the tracked image cannot be found, no location or pose is reported. This mode has higher power consumption relative to the other tracking modes. If no `Spaces Reference Image Configurator` component is found, all tracked images use this tracking mode by default.
- *Static* - Static mode is useful for tracking images that are known to be static, which leads to less power consumption and greater performance. These may be images that are affixed to the floor or a wall, for example. This mode is useful to show augmentations that should still be visible even after the image is not visible. The position of the images tracked in static mode is never updated, regardless of whether the image has moved or is out of sight.
- *Adaptive* - Adaptive mode works on static images, but periodically updates the pose of tracked images roughly once every 5 frames if they have moved. If the HMD has moved, the image pose is updated in allginment with the display refresh rate. Tracking for images that are out of sight is eventually lost. This mode balances power consumption and tracking accuracy for images that remain fixed in place.

| Tracking Modes | Added | Updated | Removed |
| --- | --- | --- | --- |
| Dynamic (default) | Frame entered | Every frame | Frame exited |
| Static | Frame entered | Never | New image tracked |
| Adaptive | Frame entered | Periodically (about once every 5 frames with image movement) | Frame exited |

Upon starting the application, each tracked image initially uses the **Tracking Mode** defined in the `Spaces Reference Image Configurator` component, but this value can be updated at runtime if necessary, as shown in the simplified example code below.

public SpacesReferenceImageConfigurator referenceImageConfigurator;
    private Dictionary<TrackableId, ...> _trackedImages = new Dictionary<TrackableId, ...>();
    ...
    
    string referenceImageName = ...; // referenceImageName to change Tracking Mode for
    TrackableId trackableId = ...; // a TrackableId for an existing tracked instance of this image
    ...
    
    // first, stop tracking any instances of the tracked image for which the Tracking Mode should be updated.
    // if tracking is not stopped, the instance can (but is not guaranteed to) continue to be tracked using the old Tracking Mode for some time
    referenceImageConfigurator.StopTrackingImageInstance(referenceImageName, trackableId);
    ...
    
    // then, set the desired tracking mode for all future instances of the tracked image with that referenceImageName
    referenceImageConfigurator.SetTrackingModeForReferenceImage(referenceImageName, SpacesImageTrackingMode.DYNAMIC);
    referenceImageConfigurator.SetTrackingModeForReferenceImage(referenceImageName, SpacesImageTrackingMode.STATIC);
    referenceImageConfigurator.SetTrackingModeForReferenceImage(referenceImageName, SpacesImageTrackingMode.ADAPTIVE);
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## Swapping reference libraries at runtime

It is possible to change the reference image library used by the **AR Tracked Image Manager** at runtime without the need of switching scenes. In order to do this, the following must be considered:

- The Image Tracking subsystem needs to be re-started for the library change to take effect. This can be achieved by re-enabling the **AR Tracked Image Manager** component.
- Tracking modes must be re-synced in the **Spaces Reference Image Configurator** for the new library by using the component’s `SyncTrackingModes` function. A `Dictionary<string, SpacesImageTrackingMode>` of reference image names and desired starting tracking modes must be provided as an argument.

Caution

Failing to re-apply tracking modes on the **Spaces Reference Image Configurator** when swapping libraries cause its `SetTrackingModeForReferenceImage` function to fail if the reference image name is not found in the previous library.

In such cases, Dynamic mode is the default tracking mode for the reference image.

### Sample Code

Implements a function `SwapTargetLibrary` that swaps to a different reference image library at runtime. First the **Tracked Image Manager** component is disabled, and Image Tracking modes are re-synced in the **Spaces Reference Image Configurator** component’s `SyncTrackingModes` function. The `Dictionary<string, SpacesImageTrackingMode>` of reference image names and desired starting tracking modes is provided by the auxiliary `CreateTrackingModesDictionary` function. Finally, the new reference library is applied to the **AR Tracked Image Manager** component and the latter is re-enabled.

public ARTrackedImageManager TrackedImageManager;
    public SpacesReferenceImageConfigurator ReferenceImageConfigurator;
    
    void SwapTargetLibrary(XRReferenceImageLibrary library)
    {
    #if !UNITY_EDITOR
        // reference library cannot be updated while the tracked image manager is enabled, generally.
        // but in the editor, when using the Simulation subsystem, disabling the manager causes errors from an AR foundation validator and so should be skipped.
        TrackedImageManager.enabled = false;
    #endif
        ReferenceImageConfigurator.SyncTrackingModes(CreateTrackingModesDictionary(library));
        TrackedImageManager.referenceLibrary = library;
    #if !UNITY_EDITOR
        TrackedImageManager.enabled = true;
    #endif
    }
    
    Dictionary<string, SpacesImageTrackingMode> CreateTrackingModesDictionary(XRReferenceImageLibrary library)
    {
        Dictionary<string, SpacesImageTrackingMode> trackingModes = new Dictionary<string, SpacesImageTrackingMode>();
        foreach (var referenceImage in library)
        {
            trackingModes[referenceImage.name] = SpacesImageTrackingMode.DYNAMIC;
        }
        return trackingModes;
    }
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Last Published: Oct 23, 2025

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