| Package | Description |
|---|---|
| org.opencv.tracking |
| Class and Description |
|---|
| legacy_MultiTracker
This class is used to track multiple objects using the specified tracker algorithm.
|
| legacy_Tracker
Base abstract class for the long-term tracker:
|
| legacy_TrackerBoosting
the Boosting tracker
This is a real-time object tracking based on a novel on-line version of the AdaBoost algorithm.
|
| legacy_TrackerCSRT
the CSRT tracker
The implementation is based on CITE: Lukezic_IJCV2018 Discriminative Correlation Filter with Channel and Spatial Reliability
|
| legacy_TrackerKCF
the KCF (Kernelized Correlation Filter) tracker
KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed.
|
| legacy_TrackerMedianFlow
the Median Flow tracker
Implementation of a paper CITE: MedianFlow .
|
| legacy_TrackerMIL
The MIL algorithm trains a classifier in an online manner to separate the object from the
background.
|
| legacy_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.
|
| legacy_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.
|
| TrackerCSRT
the CSRT tracker
The implementation is based on CITE: Lukezic_IJCV2018 Discriminative Correlation Filter with Channel and Spatial Reliability
|
| TrackerCSRT_Params |
| TrackerKCF
the KCF (Kernelized Correlation Filter) tracker
KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed.
|
| TrackerKCF_Params |
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