# 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 |

Generated on Wed Oct 9 2019 16:55:37 UTC / OpenCV 3.4.8