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 |
Copyright © 2024. All rights reserved.