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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 Boosting tracker
This is a real-time object tracking based on a novel on-line version of the AdaBoost algorithm. The classifier uses the surrounding background as negative examples in update step to avoid the drifting problem. The implementation is based on [OLB] .