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

#include "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. 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 (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< TrackerTLD >	create (const TrackerTLD::Params &parameters)
	Constructor. More...

static Ptr< TrackerTLD >	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

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 on [92] .

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

Constructor & Destructor Documentation

§ ~TrackerTLD()

virtual cv::TrackerTLD::~TrackerTLD ( )

inlinevirtual

Member Function Documentation

§ create() [1/2]

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

static

Python:
	retval	=	cv.TrackerTLD_create(		)

Constructor.

Parameters

parameters TLD parameters TrackerTLD::Params

§ create() [2/2]

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

static

Python:
	retval	=	cv.TrackerTLD_create(		)

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

/build/3_4-contrib_docs-lin64/opencv_contrib/modules/tracking/include/opencv2/tracking/tracker.hpp

Classes

Public Member Functions