Module opencv::video [−][src]
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
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