Package org.opencv.video
Class TrackerGOTURN
java.lang.Object
org.opencv.video.Tracker
org.opencv.video.TrackerGOTURN
the GOTURN (Generic Object Tracking Using Regression Networks) tracker
GOTURN (CITE: GOTURN) 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.
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Method Summary
Modifier and TypeMethodDescriptionstatic TrackerGOTURN__fromPtr__(long addr) static TrackerGOTURNcreate()Constructorstatic TrackerGOTURNConstructorstatic TrackerGOTURNcreate(TrackerGOTURN_Params parameters) ConstructorMethods inherited from class org.opencv.video.Tracker
getNativeObjAddr, init, update
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Method Details
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__fromPtr__
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create
Constructor- Parameters:
parameters- GOTURN parameters TrackerGOTURN::Params- Returns:
- automatically generated
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create
Constructor- Returns:
- automatically generated
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create
Constructor- Parameters:
model- pre-loaded GOTURN model- Returns:
- automatically generated
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