The MIL algorithm trains a classifier in an online manner to separate the object from the background.
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IntPtr | getNativeObjAddr () |
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void | init (Mat image, in Vec4i boundingBox) |
| Initialize the tracker with a known bounding box that surrounded the target.
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void | init (Mat image, in(int x, int y, int width, int height) boundingBox) |
| Initialize the tracker with a known bounding box that surrounded the target.
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void | init (Mat image, Rect boundingBox) |
| Initialize the tracker with a known bounding box that surrounded the target.
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bool | update (Mat image, out Vec4i boundingBox) |
| Update the tracker, find the new most likely bounding box for the target.
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bool | update (Mat image, out(int x, int y, int width, int height) boundingBox) |
| Update the tracker, find the new most likely bounding box for the target.
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bool | update (Mat image, Rect boundingBox) |
| Update the tracker, find the new most likely bounding box for the target.
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void | Dispose () |
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void | ThrowIfDisposed () |
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bool | IsDisposed [get, protected set] |
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bool | IsEnabledDispose [get, set] |
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The MIL algorithm trains a classifier in an online manner to separate the object from the background.
Multiple Instance Learning avoids the drift problem for a robust tracking. The implementation is based on [MIL] .
Original code can be found here <http://vision.ucsd.edu/~bbabenko/project_miltrack.shtml>
◆ __fromPtr__()
static new TrackerMIL OpenCVForUnity.VideoModule.TrackerMIL.__fromPtr__ |
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IntPtr | addr | ) |
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◆ create() [1/2]
static TrackerMIL OpenCVForUnity.VideoModule.TrackerMIL.create |
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Create MIL tracker instance.
- Parameters
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parameters | MIL parameters TrackerMIL::Params |
◆ create() [2/2]
Create MIL tracker instance.
- Parameters
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parameters | MIL parameters TrackerMIL::Params |
◆ Dispose()
override void OpenCVForUnity.VideoModule.TrackerMIL.Dispose |
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bool | disposing | ) |
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The documentation for this class was generated from the following file:
- OpenCVForUnity/Assets/OpenCVForUnity/org/opencv/video/TrackerMIL.cs