cv::Tracker Class Reference

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 float	getTrackingScore ()
	Return tracking score.
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

getTrackingScore()

virtual float cv::Tracker::getTrackingScore ( )

inlinevirtual

Python:
	cv.Tracker.getTrackingScore(		) ->	retval

Return tracking score.

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

image	The initial frame
boundingBox	The 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

image	The current frame
boundingBox	The 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)

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

• opencv2/video/tracking.hpp