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

#include <opencv2/tracking/tracker.hpp>

Inheritance diagram for cv::TrackerKCF:

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.

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< TrackerKCF >	create (const TrackerKCF::Params &parameters)
	Constructor.

static Ptr< TrackerKCF >	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 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 ofKCF_ECCV which is extended to KCF with color-names features (KCF_CN). 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

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

virtual cv::TrackerKCF::~TrackerKCF ( )

inlinevirtual

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

static

Python:
	retval	=	cv.TrackerKCF_create(		)

Constructor.

Parameters

parameters KCF parameters TrackerKCF::Params

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

static

Python:
	retval	=	cv.TrackerKCF_create(		)

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: