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The MIL algorithm trains a classifier in an online manner to separate the object from the background. More...

#include <opencv2/video/tracking.hpp>

Inheritance diagram for cv::TrackerMIL:
cv::Tracker

Classes

struct  Params
 

Public Member Functions

virtual ~TrackerMIL () 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< TrackerMILcreate (const TrackerMIL::Params &parameters=TrackerMIL::Params())
 Create MIL tracker instance.
 

Protected Member Functions

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

Detailed Description

The MIL algorithm trains a classifier in an online manner to separate the object from the background.

Multiple Instance Learning avoids the drift problem for a robust tracking. The implementation is based on [MIL] .

Original code can be found here http://vision.ucsd.edu/~bbabenko/project_miltrack.shtml

Constructor & Destructor Documentation

◆ TrackerMIL()

cv::TrackerMIL::TrackerMIL ( )
protected

◆ ~TrackerMIL()

virtual cv::TrackerMIL::~TrackerMIL ( )
virtual

Member Function Documentation

◆ create()

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

Create MIL tracker instance.

Parameters
parametersMIL parameters TrackerMIL::Params

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