Package org.opencv.tracking

Class Summary

Class	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.
Tracking