the KCF (Kernelized Correlation Filter) tracker More...

#include <opencv2/tracking/tracker.hpp>

Inheritance diagram for cv::TrackerKCF:

Classes
struct	Params

Public Types
enum	MODE { GRAY = (1 << 0), CN = (1 << 1), CUSTOM = (1 << 2) }
	Feature type to be used in the tracking grayscale, colornames, compressed color-names The modes available now: More...

Public Member Functions
virtual	~TrackerKCF () CV_OVERRIDE

virtual void	setFeatureExtractor (void(*)(const Mat, const Rect, Mat &), bool pca_func=false)=0

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. More...

virtual void	read (const FileNode &fn) CV_OVERRIDE=0
	Reads algorithm parameters from a file storage. More...

bool	update (InputArray image, Rect2d &boundingBox)
	Update the tracker, find the new most likely bounding box for the target. More...

virtual void	write (FileStorage &fs) const CV_OVERRIDE=0
	Stores algorithm parameters in a file storage. 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	save (const String &filename) const

void	write (FileStorage &fs, const String &name) const

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const

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

static Ptr< TrackerKCF >	create ()

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...

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 Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Protected Attributes inherited from cv::Tracker
Ptr< TrackerFeatureSet >	featureSet

bool	isInit

Ptr< TrackerModel >	model

Ptr< TrackerSampler >	sampler

Detailed Description

the KCF (Kernelized Correlation Filter) tracker

KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed. This tracking method is an implementation of [100] which is extended to KCF with color-names features ([50]). The original paper of KCF is available at http://www.robots.ox.ac.uk/~joao/publications/henriques_tpami2015.pdf as well as the matlab implementation. For more information about KCF with color-names features, please refer to http://www.cvl.isy.liu.se/research/objrec/visualtracking/colvistrack/index.html.

Member Enumeration Documentation

◆ MODE

enum cv::TrackerKCF::MODE

Feature type to be used in the tracking grayscale, colornames, compressed color-names The modes available now:

"GRAY" – Use grayscale values as the feature
"CN" – Color-names feature

Enumerator
GRAY
CN
CUSTOM

Constructor & Destructor Documentation

◆ ~TrackerKCF()

virtual cv::TrackerKCF::~TrackerKCF ( )

inlinevirtual

Member Function Documentation

◆ create() [1/2]

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

static

Python:
	cv.TrackerKCF.create(		) ->	retval
	cv.TrackerKCF_create(		) ->	retval

Constructor.

Parameters

parameters KCF parameters TrackerKCF::Params

◆ create() [2/2]

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

static

Python:
	cv.TrackerKCF.create(		) ->	retval
	cv.TrackerKCF_create(		) ->	retval

◆ setFeatureExtractor()

virtual void cv::TrackerKCF::setFeatureExtractor	(	void(*)(const Mat, const Rect, Mat &)	,
		bool	pca_func = `false`
	)

pure virtual

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

opencv2/tracking/tracker.hpp

Classes

Public Types

Public Member Functions

Static Public Member Functions

Additional Inherited Members