OpenCV for Unity 2.6.5
Enox Software / Please refer to OpenCV official document ( http://docs.opencv.org/4.10.0/index.html ) for the details of the argument of the method.
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OpenCVForUnity.VideoModule.TrackerMIL Class Reference

The MIL algorithm trains a classifier in an online manner to separate the object from the background. More...

Static Public Member Functions

static new TrackerMIL __fromPtr__ (IntPtr addr)
 
static TrackerMIL create ()
 Create MIL tracker instance.
 
static TrackerMIL create (TrackerMIL_Params parameters)
 Create MIL tracker instance.
 
- Static Public Member Functions inherited from OpenCVForUnity.VideoModule.Tracker
static Tracker __fromPtr__ (IntPtr addr)
 
- Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr ThrowIfNullIntPtr (IntPtr ptr)
 

Protected Member Functions

override void Dispose (bool disposing)
 
- Protected Member Functions inherited from OpenCVForUnity.VideoModule.Tracker
- Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
 DisposableOpenCVObject ()
 
 DisposableOpenCVObject (bool isEnabledDispose)
 
 DisposableOpenCVObject (IntPtr ptr)
 
 DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)
 
- Protected Member Functions inherited from OpenCVForUnity.DisposableObject
 DisposableObject ()
 
 DisposableObject (bool isEnabledDispose)
 

Additional Inherited Members

- Public Member Functions inherited from OpenCVForUnity.VideoModule.Tracker
IntPtr getNativeObjAddr ()
 
void init (Mat image, in Vec4i boundingBox)
 Initialize the tracker with a known bounding box that surrounded the target.
 
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.
 
void init (Mat image, Rect boundingBox)
 Initialize the tracker with a known bounding box that surrounded the target.
 
bool update (Mat image, out Vec4i boundingBox)
 Update the tracker, find the new most likely bounding box for the target.
 
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.
 
bool update (Mat image, Rect boundingBox)
 Update the tracker, find the new most likely bounding box for the target.
 
- Public Member Functions inherited from OpenCVForUnity.DisposableObject
void Dispose ()
 
void ThrowIfDisposed ()
 
- Package Functions inherited from OpenCVForUnity.VideoModule.Tracker
- Package Attributes inherited from OpenCVForUnity.DisposableOpenCVObject
- Properties inherited from OpenCVForUnity.DisposableObject
bool IsDisposed [get, protected set]
 
bool IsEnabledDispose [get, set]
 

Detailed Description

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&gt;

Member Function Documentation

◆ __fromPtr__()

static new TrackerMIL OpenCVForUnity.VideoModule.TrackerMIL.__fromPtr__ ( IntPtr addr)
static

◆ create() [1/2]

static TrackerMIL OpenCVForUnity.VideoModule.TrackerMIL.create ( )
static

Create MIL tracker instance.

Parameters
parametersMIL parameters TrackerMIL::Params

◆ create() [2/2]

static TrackerMIL OpenCVForUnity.VideoModule.TrackerMIL.create ( TrackerMIL_Params parameters)
static

Create MIL tracker instance.

Parameters
parametersMIL parameters TrackerMIL::Params

◆ Dispose()

override void OpenCVForUnity.VideoModule.TrackerMIL.Dispose ( bool disposing)
protectedvirtual

The documentation for this class was generated from the following file: