cv::MultiTracker Class Reference

This class is used to track multiple objects using the specified tracker algorithm. More...

#include <opencv2/tracking/tracker.hpp>

Inheritance diagram for cv::MultiTracker:

Public Member Functions
	MultiTracker ()
	Constructor. More...
	~MultiTracker () CV_OVERRIDE
	Destructor. More...
bool	add (Ptr< Tracker > newTracker, InputArray image, const Rect2d &boundingBox)
	Add a new object to be tracked. More...
bool	add (std::vector< Ptr< Tracker > > newTrackers, InputArray image, std::vector< Rect2d > boundingBox)
	Add a set of objects to be tracked. More...
const std::vector< Rect2d > &	getObjects () const
	Returns a reference to a storage for the tracked objects, each object corresponds to one tracker algorithm. More...
bool	update (InputArray image)
	Update the current tracking status. The result will be saved in the internal storage. More...
bool	update (InputArray image, std::vector< Rect2d > &boundingBox)
	Update the current tracking status. More...
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state. More...
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...

Static Public Member Functions
static Ptr< MultiTracker >	create ()
	Returns a pointer to a new instance of MultiTracker. More...
Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file. More...
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String. More...
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

Protected Attributes
std::vector< Rect2d >	objects
std::vector< Ptr< Tracker > >	trackerList
	< storage for the tracker algorithms. More...

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

This class is used to track multiple objects using the specified tracker algorithm.

The MultiTracker is naive implementation of multiple object tracking. It process the tracked objects independently without any optimization accross the tracked objects.

Constructor & Destructor Documentation

MultiTracker()

cv::MultiTracker::MultiTracker

(

)

Constructor.

~MultiTracker()

cv::MultiTracker::~MultiTracker

(

)

Destructor.

Member Function Documentation

add() [1/2]

bool cv::MultiTracker::add	(	Ptr< Tracker >	newTracker,
		InputArray	image,
		const Rect2d &	boundingBox
	)

Python:
	cv.MultiTracker.add(	newTracker, image, boundingBox	) ->	retval

Add a new object to be tracked.

Parameters

newTracker	tracking algorithm to be used
image	input image
boundingBox	a rectangle represents ROI of the tracked object

add() [2/2]

bool cv::MultiTracker::add	(	std::vector< Ptr< Tracker > >	newTrackers,
		InputArray	image,
		std::vector< Rect2d >	boundingBox
	)

Python:
	cv.MultiTracker.add(	newTracker, image, boundingBox	) ->	retval

Add a set of objects to be tracked.

Parameters

newTrackers	list of tracking algorithms to be used
image	input image
boundingBox	list of the tracked objects

create()

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

static

Python:
	cv.MultiTracker.create(		) ->	retval
	cv.MultiTracker_create(		) ->	retval

Returns a pointer to a new instance of MultiTracker.

getObjects()

const std::vector<Rect2d>& cv::MultiTracker::getObjects

(

)

const

Python:
	cv.MultiTracker.getObjects(		) ->	retval

Returns a reference to a storage for the tracked objects, each object corresponds to one tracker algorithm.

update() [1/2]

bool cv::MultiTracker::update

(

InputArray

image

)

Python:
	cv.MultiTracker.update(	image	) ->	retval, boundingBox

Update the current tracking status. The result will be saved in the internal storage.

Parameters

image

input image

update() [2/2]

bool cv::MultiTracker::update	(	InputArray	image,
		std::vector< Rect2d > &	boundingBox
	)

Python:
	cv.MultiTracker.update(	image	) ->	retval, boundingBox

Update the current tracking status.

Parameters

image	input image
boundingBox	the tracking result, represent a list of ROIs of the tracked objects.

Member Data Documentation

objects

std::vector<Rect2d> cv::MultiTracker::objects

protected

trackerList

std::vector< Ptr<Tracker> > cv::MultiTracker::trackerList

protected

< storage for the tracker algorithms.

storage for the tracked objects, each object corresponds to one tracker algorithm.

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

• opencv2/tracking/tracker.hpp