cv::TrackerKCF Class Reference

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

#include <opencv2/tracking.hpp>

Collaboration diagram for cv::TrackerKCF:

Classes
struct	Params

Public Types
typedef void(*)	FeatureExtractorCallbackFN(const Mat, const Rect, Mat &)
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 (FeatureExtractorCallbackFN callback, bool pca_func=false)=0
Public Member Functions inherited from cv::Tracker
virtual	~Tracker ()
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< TrackerKCF >	create (const TrackerKCF::Params &parameters=TrackerKCF::Params())
	Create KCF tracker instance.

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

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 [123] which is extended to KCF with color-names features ([64]). 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 Typedef Documentation

FeatureExtractorCallbackFN

void(*) cv::TrackerKCF::FeatureExtractorCallbackFN(const Mat, const Rect, Mat &)

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()

cv::TrackerKCF::TrackerKCF ( )

protected

~TrackerKCF()

virtual cv::TrackerKCF::~TrackerKCF ( )

virtual

Member Function Documentation

create()

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

static

Python:
	cv.TrackerKCF.create(	[, parameters]	) ->	retval
	cv.TrackerKCF_create(	[, parameters]	) ->	retval

Create KCF tracker instance.

Parameters

parameters

KCF parameters TrackerKCF::Params

setFeatureExtractor()

virtual void cv::TrackerKCF::setFeatureExtractor ( FeatureExtractorCallbackFN callback, bool pca_func = false )

pure virtual

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

• opencv2/tracking.hpp