| Class and Description |
|---|
| BackgroundSubtractorKNN
\brief K-nearest neighbours - based Background/Foreground Segmentation Algorithm.
|
| BackgroundSubtractorMOG2
\brief Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
|
| DenseOpticalFlow
Base class for dense optical flow algorithms
|
| Class and Description |
|---|
| BackgroundSubtractor
\addtogroup video_motion
\{
|
| Class and Description |
|---|
| BackgroundSubtractorMOG2
\brief Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
|
| Class and Description |
|---|
| DenseOpticalFlow
Base class for dense optical flow algorithms
|
| Class and Description |
|---|
| Tracker
\brief Base abstract class for the long-term tracker
|
| Class and Description |
|---|
| BackgroundSubtractor
\addtogroup video_motion
\{
|
| DenseOpticalFlow
Base class for dense optical flow algorithms
|
| DISOpticalFlow
\brief DIS optical flow algorithm.
|
| FarnebackOpticalFlow
\brief Class computing a dense optical flow using the Gunnar Farneback's algorithm.
|
| KalmanFilter
\brief Kalman filter class.
|
| SparseOpticalFlow
\brief Base interface for sparse optical flow algorithms.
|
| SparsePyrLKOpticalFlow
\brief Class used for calculating a sparse optical flow.
|
| Tracker
\brief Base abstract class for the long-term tracker
|
| TrackerDaSiamRPN |
| TrackerDaSiamRPN.Params |
| TrackerGOTURN
\brief the GOTURN (Generic Object Tracking Using Regression Networks) tracker
GOTURN (\cite GOTURN) is kind of trackers based on Convolutional Neural Networks (CNN).
|
| TrackerGOTURN.Params |
| TrackerMIL
\brief The MIL algorithm trains a classifier in an online manner to separate the object from the
background.
|
| TrackerMIL.Params |
| VariationalRefinement
\brief Variational optical flow refinement
|
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