Uses of Package
org.opencv.tracking

Packages that use org.opencv.tracking

Package	Description
org.opencv.tracking

Classes in org.opencv.tracking used by org.opencv.tracking

Class and Description
MultiTracker This class is used to track multiple objects using the specified tracker algorithm.
Tracker Base abstract class for the long-term tracker:
TrackerBoosting the Boosting tracker This is a real-time object tracking based on a novel on-line version of the AdaBoost algorithm.
TrackerCSRT the CSRT tracker The implementation is based on CITE: Lukezic_IJCV2018 Discriminative Correlation Filter with Channel and Spatial Reliability
TrackerGOTURN the GOTURN (Generic Object Tracking Using Regression Networks) tracker GOTURN (CITE: GOTURN) is kind of trackers based on Convolutional Neural Networks (CNN).
TrackerKCF the KCF (Kernelized Correlation Filter) tracker KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed.
TrackerMedianFlow the Median Flow tracker Implementation of a paper CITE: MedianFlow .
TrackerMIL The MIL algorithm trains a classifier in an online manner to separate the object from the background.
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.
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.