Class cv::Tracker#

Base abstract class for the long-term tracker.

#include <opencv2/video/tracking.hpp>

Collaboration diagram for cv::Tracker:

cv::Tracker Node1 cv::Tracker   + ~Tracker() + getTrackingScore() + init() + update() # Tracker()

cv::Tracker Node1 cv::Tracker   + ~Tracker() + getTrackingScore() + init() + update() # Tracker()

Detailed Description#

Base abstract class for the long-term tracker.

Constructor & Destructor Documentation#

Tracker()#

cv::Tracker::Tracker()

~Tracker()#

cv::Tracker::~Tracker()

Member Function Documentation#

getTrackingScore()#

float cv::Tracker::getTrackingScore()

Python:

cv.Tracker.getTrackingScore() -> retval

Return tracking score.

init()#

void cv::Tracker::init(
InputArray image,
const Rect & boundingBox )

Python:

cv.Tracker.init(image, boundingBox)

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

Parameters

  • image — The initial frame

  • boundingBox — The initial bounding box

update()#

bool cv::Tracker::update(
InputArray image,
Rect & boundingBox )

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)

Source file#

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