Class and Description |
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BackgroundSubtractorKNN
\brief K-nearest neighbours - based Background/Foreground Segmentation Algorithm.
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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 |
TrackerNano
\brief the Nano tracker is a super lightweight dnn-based general object tracking.
|
TrackerNano.Params |
TrackerVit
\brief the VIT tracker is a super lightweight dnn-based general object tracking.
|
TrackerVit.Params |
VariationalRefinement
\brief Variational optical flow refinement
|
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