cv::TrackerGOTURN Class Reference

the GOTURN (Generic Object Tracking Using Regression Networks) tracker More...

#include <opencv2/video/tracking.hpp>

Collaboration diagram for cv::TrackerGOTURN:

Classes
struct	Params

Public Member Functions
virtual	~TrackerGOTURN () CV_OVERRIDE
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< TrackerGOTURN >	create (const TrackerGOTURN::Params &parameters=TrackerGOTURN::Params())
	Constructor.

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

Detailed Description

the GOTURN (Generic Object Tracking Using Regression Networks) tracker

GOTURN ([122]) is kind of trackers based on Convolutional Neural Networks (CNN). While taking all advantages of CNN trackers, GOTURN is much faster due to offline training without online fine-tuning nature. GOTURN tracker addresses the problem of single target tracking: given a bounding box label of an object in the first frame of the video, we track that object through the rest of the video. NOTE: Current method of GOTURN does not handle occlusions; however, it is fairly robust to viewpoint changes, lighting changes, and deformations. Inputs of GOTURN are two RGB patches representing Target and Search patches resized to 227x227. Outputs of GOTURN are predicted bounding box coordinates, relative to Search patch coordinate system, in format X1,Y1,X2,Y2. Original paper is here: http://davheld.github.io/GOTURN/GOTURN.pdf As long as original authors implementation: https://github.com/davheld/GOTURN#train-the-tracker Implementation of training algorithm is placed in separately here due to 3d-party dependencies: https://github.com/Auron-X/GOTURN_Training_Toolkit GOTURN architecture goturn.prototxt and trained model goturn.caffemodel are accessible on opencv_extra GitHub repository.

Constructor & Destructor Documentation

TrackerGOTURN()

cv::TrackerGOTURN::TrackerGOTURN ( )

protected

~TrackerGOTURN()

virtual cv::TrackerGOTURN::~TrackerGOTURN ( )

virtual

Member Function Documentation

create()

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

static

Python:
	cv.TrackerGOTURN.create(	[, parameters]	) ->	retval
	cv.TrackerGOTURN_create(	[, parameters]	) ->	retval

Constructor.

Parameters

parameters

GOTURN parameters TrackerGOTURN::Params

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

• opencv2/video/tracking.hpp