The MIL algorithm trains a classifier in an online manner to separate the object from the background.
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| bool | init (Mat image, in Vec4d boundingBox) |
| | Initialize the tracker with a known bounding box that surrounded the target.
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| bool | init (Mat image, in(double x, double y, double width, double height) boundingBox) |
| | Initialize the tracker with a known bounding box that surrounded the target.
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| bool | init (Mat image, Rect2d boundingBox) |
| | Initialize the tracker with a known bounding box that surrounded the target.
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| bool | update (Mat image, out Vec4d boundingBox) |
| | Update the tracker, find the new most likely bounding box for the target.
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| bool | update (Mat image, out(double x, double y, double width, double height) boundingBox) |
| | Update the tracker, find the new most likely bounding box for the target.
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| bool | update (Mat image, Rect2d boundingBox) |
| | Update the tracker, find the new most likely bounding box for the target.
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| virtual void | clear () |
| | Clears the algorithm state.
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| virtual bool | empty () |
| | Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
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| virtual string | getDefaultName () |
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| IntPtr | getNativeObjAddr () |
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| void | save (string filename) |
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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 legacy_TrackerMIL OpenCVForUnity.TrackingModule.legacy_TrackerMIL.__fromPtr__ |
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IntPtr | addr | ) |
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◆ create()
Constructor.
- Parameters
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| parameters | MIL parameters TrackerMIL::Params |
◆ Dispose()
| override void OpenCVForUnity.TrackingModule.legacy_TrackerMIL.Dispose |
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bool | disposing | ) |
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protectedvirtual |
The documentation for this class was generated from the following file: