Expand description
Modules
Structs
Constants
Traits
Base class for background/foreground segmentation. :
K-nearest neighbours - based Background/Foreground Segmentation Algorithm.
Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
DIS optical flow algorithm.
Base class for dense optical flow algorithms
Class computing a dense optical flow using the Gunnar Farneback’s algorithm.
Kalman filter class.
Base interface for sparse optical flow algorithms.
Class used for calculating a sparse optical flow.
Base abstract class for the long-term tracker
the GOTURN (Generic Object Tracking Using Regression Networks) tracker
The MIL algorithm trains a classifier in an online manner to separate the object from the
background.
Variational optical flow refinement
Functions
Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
Computes a dense optical flow using the Gunnar Farneback’s algorithm.
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
pyramids.
Finds an object center, size, and orientation.
Computes the Enhanced Correlation Coefficient value between two images EP08 .
Creates KNN Background Subtractor
Creates MOG2 Background Subtractor
estimate_rigid_transformDeprecated
Computes an optimal affine transformation between two 2D point sets.
Finds the geometric transform (warp) between two images in terms of the ECC criterion EP08 .
Finds the geometric transform (warp) between two images in terms of the ECC criterion EP08 .
Finds an object on a back projection image.
Read a .flo file
Write a .flo to disk