Class cv::legacy::TrackerTLD#

the [159] (Tracking, learning and detection) tracker View details

#include <opencv2/tracking/tracking_legacy.hpp>

Collaboration diagram for cv::legacy::TrackerTLD:

Public Member Functions#

Public Member Functions inherited from cv::legacy::Tracker

Return	Name	Description
	`Tracker()`
	`~Tracker()`
`bool`	`init(` `InputArray image,` `const Rect2d & boundingBox )`	Initialize the tracker with a known bounding box that surrounded the target.
`void`	`read(const FileNode & fn)`	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.
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

Additional Inherited Members#

Protected Member Functions inherited from cv::legacy::Tracker

Return	Name	Description
`bool`	`initImpl(` `const Mat & image,` `const Rect2d & boundingBox )`
`bool`	`updateImpl(` `const Mat & image,` `Rect2d & boundingBox )`

Protected Attributes inherited from cv::legacy::Tracker

Return	Name	Description
`Ptr< TrackerContribFeatureSet >`	`featureSet`
`bool`	`isInit`
`Ptr< TrackerModel >`	`model`
`Ptr< TrackerContribSampler >`	`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 on TLD .

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#

~TrackerTLD()#

cv::legacy::TrackerTLD::~TrackerTLD()

Member Function Documentation#

create()#

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

Python:

cv.legacy.TrackerTLD.create() -> retval

cv.legacy.TrackerTLD_create() -> retval

create()#

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

Python:

cv.legacy.TrackerTLD.create() -> retval

cv.legacy.TrackerTLD_create() -> retval

Constructor.

Parameters

parameters — [159] parameters TrackerTLD::Params

Source file#

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

opencv2/tracking/tracking_legacy.hpp