cv::TrackerMIL Class Reference

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

#include <opencv2/tracking/tracker.hpp>

Inheritance diagram for cv::TrackerMIL:

Classes
struct	Params

Public Member Functions
virtual	~TrackerMIL () CV_OVERRIDE
Public Member Functions inherited from cv::Tracker
virtual	~Tracker () CV_OVERRIDE
bool	init (InputArray image, const Rect2d &boundingBox)
	Initialize the tracker with a known bounding box that surrounded the target.
virtual void	read (const FileNode &fn) CV_OVERRIDE=0
	Reads algorithm parameters from a file storage.
bool	update (InputArray image, Rect2d &boundingBox)
	Update the tracker, find the new most likely bounding box for the target.
virtual void	write (FileStorage &fs) const CV_OVERRIDE=0
	Stores algorithm parameters in a file storage.
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String	getDefaultName () const
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindingsThis is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Static Public Member Functions
static Ptr< TrackerMIL >	create (const TrackerMIL::Params &parameters)
	Constructor.
static Ptr< TrackerMIL >	create ()

Additional Inherited Members
Protected Member Functions inherited from cv::Tracker
virtual bool	initImpl (const Mat &image, const Rect2d &boundingBox)=0
virtual bool	updateImpl (const Mat &image, Rect2d &boundingBox)=0
Protected Attributes inherited from cv::Tracker
Ptr< TrackerFeatureSet >	featureSet
bool	isInit
Ptr< TrackerModel >	model
Ptr< TrackerSampler >	sampler

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 onMIL .

Original code can be found here http://vision.ucsd.edu/~bbabenko/project_miltrack.shtml

Constructor & Destructor Documentation

virtual cv::TrackerMIL::~TrackerMIL ( )

inlinevirtual

Member Function Documentation

static Ptr<TrackerMIL> cv::TrackerMIL::create ( const TrackerMIL::Params &  parameters )

static

Python:
	retval	=	cv.TrackerMIL_create(		)

Constructor.

Parameters

parameters

MIL parameters TrackerMIL::Params

static Ptr<TrackerMIL> cv::TrackerMIL::create ( )

static

Python:
	retval	=	cv.TrackerMIL_create(		)

---

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

• tracker.hpp