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Open Source Computer Vision
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cv::TrackerGOTURN Class Reference

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

#include <opencv2/video/tracking.hpp>

Inheritance diagram for cv::TrackerGOTURN:
cv::Tracker

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. More...
 
virtual bool update (InputArray image, Rect &boundingBox)=0
 Update the tracker, find the new most likely bounding box for the target. More...
 

Static Public Member Functions

static Ptr< TrackerGOTURNcreate (const TrackerGOTURN::Params &parameters=TrackerGOTURN::Params())
 Constructor. More...
 

Protected Member Functions

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

Detailed Description

the GOTURN (Generic Object Tracking Using Regression Networks) tracker

GOTURN ([107]) 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

Constructor.

Parameters
parametersGOTURN parameters TrackerGOTURN::Params

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