Package | Description |
---|---|
org.opencv.tracking |
Modifier and Type | Class and Description |
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class |
TrackerBoosting
the Boosting tracker
This is a real-time object tracking based on a novel on-line version of the AdaBoost algorithm.
|
class |
TrackerCSRT
the CSRT tracker
The implementation is based on CITE: Lukezic_IJCV2018 Discriminative Correlation Filter with Channel and Spatial Reliability
|
class |
TrackerGOTURN
the GOTURN (Generic Object Tracking Using Regression Networks) tracker
GOTURN (CITE: GOTURN) is kind of trackers based on Convolutional Neural Networks (CNN).
|
class |
TrackerKCF
the KCF (Kernelized Correlation Filter) tracker
KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed.
|
class |
TrackerMedianFlow
the Median Flow tracker
Implementation of a paper CITE: MedianFlow .
|
class |
TrackerMIL
The MIL algorithm trains a classifier in an online manner to separate the object from the
background.
|
class |
TrackerMOSSE
the MOSSE (Minimum Output Sum of Squared %Error) tracker
The implementation is based on CITE: MOSSE Visual Object Tracking using Adaptive Correlation Filters
Note: this tracker works with grayscale images, if passed bgr ones, they will get converted internally.
|
class |
TrackerTLD
the TLD (Tracking, learning and detection) tracker
TLD is a novel tracking framework that explicitly decomposes the long-term tracking task into
tracking, learning and detection.
|
Modifier and Type | Method and Description |
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static Tracker |
Tracker.__fromPtr__(long addr) |
Modifier and Type | Method and Description |
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boolean |
MultiTracker.add(Tracker newTracker,
Mat image,
Rect2d boundingBox)
Add a new object to be tracked.
|
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