OpenCV 4.11.0-pre
Open Source Computer Vision
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cv::Tracker Class Referenceabstract

Base abstract class for the long-term tracker. More...

#include <opencv2/video/tracking.hpp>

Collaboration diagram for cv::Tracker:

Public Member Functions

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.
 

Protected Member Functions

 Tracker ()
 

Detailed Description

Base abstract class for the long-term tracker.

Constructor & Destructor Documentation

◆ Tracker()

cv::Tracker::Tracker ( )
protected

◆ ~Tracker()

virtual cv::Tracker::~Tracker ( )
virtual

Member Function Documentation

◆ init()

virtual void cv::Tracker::init ( InputArray image,
const Rect & boundingBox )
pure virtual
Python:
cv.Tracker.init(image, boundingBox) -> None

Initialize the tracker with a known bounding box that surrounded the target.

Parameters
imageThe initial frame
boundingBoxThe initial bounding box

◆ update()

virtual bool cv::Tracker::update ( InputArray image,
Rect & boundingBox )
pure virtual
Python:
cv.Tracker.update(image) -> retval, boundingBox

Update the tracker, find the new most likely bounding box for the target.

Parameters
imageThe current frame
boundingBoxThe bounding box that represent the new target location, if true was returned, not modified otherwise
Returns
True means that target was located and false means that tracker cannot locate target in current frame. Note, that latter does not imply that tracker has failed, maybe target is indeed missing from the frame (say, out of sight)

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