cv::TrackerTLD Class Reference

the TLD (Tracking, learning and detection) tracker More...

#include <opencv2/tracking/tracker.hpp>

Inheritance diagram for cv::TrackerTLD:

Classes
struct	Params

Public Member Functions
virtual	~TrackerTLD () CV_OVERRIDE
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< TrackerTLD >	create (const TrackerTLD::Params &parameters)
	Constructor.
static Ptr< TrackerTLD >	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 TLD (Tracking, learning and detection) tracker

TLD is a novel tracking framework that explicitly decomposes the long-term tracking task into tracking, learning and detection.

The tracker follows the object from frame to frame. The detector localizes all appearances that have been observed so far and corrects the tracker if necessary. The learning estimates detector's errors and updates it to avoid these errors in the future. The implementation is based onTLD .

The Median Flow algorithm (see cv::TrackerMedianFlow) was chosen as a tracking component in this implementation, following authors. The tracker is supposed to be able to handle rapid motions, partial occlusions, object absence etc.

Constructor & Destructor Documentation

virtual cv::TrackerTLD::~TrackerTLD ( )

inlinevirtual

Member Function Documentation

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

static

Python:
	retval	=	cv.TrackerTLD_create(		)

Constructor.

Parameters

parameters

TLD parameters TrackerTLD::Params

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

static

Python:
	retval	=	cv.TrackerTLD_create(		)

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

• tracker.hpp