cv::TrackerMIL Class Reference

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

#include <opencv2/video/tracking.hpp>

Collaboration diagram for cv::TrackerMIL:

Classes
struct	Params

Public Member Functions
virtual	~TrackerMIL () CV_OVERRIDE
Public Member Functions inherited from cv::Tracker
virtual	~Tracker ()
virtual float	getTrackingScore ()
	Return tracking score.
virtual void	init (InputArray image, const Rect &boundingBox)=0
	Initialize the tracker with a known bounding box that surrounded the target.
virtual bool	update (InputArray image, Rect &boundingBox)=0
	Update the tracker, find the new most likely bounding box for the target.

Static Public Member Functions
static Ptr< TrackerMIL >	create (const TrackerMIL::Params &parameters=TrackerMIL::Params())
	Create MIL tracker instance.

Protected Member Functions
	TrackerMIL ()
Protected Member Functions inherited from cv::Tracker
	Tracker ()

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 [14] .

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

Constructor & Destructor Documentation

TrackerMIL()

cv::TrackerMIL::TrackerMIL ( )

protected

~TrackerMIL()

virtual cv::TrackerMIL::~TrackerMIL ( )

virtual

Member Function Documentation

create()

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

static

Python:
	cv.TrackerMIL.create(	[, parameters]	) ->	retval
	cv.TrackerMIL_create(	[, parameters]	) ->	retval

Create MIL tracker instance.

Parameters

parameters

MIL parameters TrackerMIL::Params

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

• opencv2/video/tracking.hpp