Module opencv::video

Video Analysis

Motion Analysis

Object Tracking

C API

Modules

• prelude

Structs

• KalmanFilter
  Kalman filter class.
• TrackerDaSiamRPN_Params
• TrackerGOTURN_Params
• TrackerMIL_Params
• TrackerNano_Params

Constants

• DISOpticalFlow_PRESET_FAST
• DISOpticalFlow_PRESET_MEDIUM
• DISOpticalFlow_PRESET_ULTRAFAST
• MOTION_AFFINE
• MOTION_EUCLIDEAN
• MOTION_HOMOGRAPHY
• MOTION_TRANSLATION
• OPTFLOW_FARNEBACK_GAUSSIAN
• OPTFLOW_LK_GET_MIN_EIGENVALS
• OPTFLOW_USE_INITIAL_FLOW

Traits

• BackgroundSubtractor
  Base class for background/foreground segmentation. :
• BackgroundSubtractorConst
  Constant methods for crate::video::BackgroundSubtractor
• BackgroundSubtractorKNN
  K-nearest neighbours - based Background/Foreground Segmentation Algorithm.
• BackgroundSubtractorKNNConst
  Constant methods for crate::video::BackgroundSubtractorKNN
• BackgroundSubtractorMOG2
  Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
• BackgroundSubtractorMOG2Const
  Constant methods for crate::video::BackgroundSubtractorMOG2
• DISOpticalFlow
  DIS optical flow algorithm.
• DISOpticalFlowConst
  Constant methods for crate::video::DISOpticalFlow
• DenseOpticalFlow
  Base class for dense optical flow algorithms
• DenseOpticalFlowConst
  Constant methods for crate::video::DenseOpticalFlow
• FarnebackOpticalFlow
  Class computing a dense optical flow using the Gunnar Farneback’s algorithm.
• FarnebackOpticalFlowConst
  Constant methods for crate::video::FarnebackOpticalFlow
• KalmanFilterTrait
  Mutable methods for crate::video::KalmanFilter
• KalmanFilterTraitConst
  Constant methods for crate::video::KalmanFilter
• SparseOpticalFlow
  Base interface for sparse optical flow algorithms.
• SparseOpticalFlowConst
  Constant methods for crate::video::SparseOpticalFlow
• SparsePyrLKOpticalFlow
  Class used for calculating a sparse optical flow.
• SparsePyrLKOpticalFlowConst
  Constant methods for crate::video::SparsePyrLKOpticalFlow
• Tracker
  Base abstract class for the long-term tracker
• TrackerConst
  Constant methods for crate::video::Tracker
• TrackerDaSiamRPN
• TrackerDaSiamRPNConst
  Constant methods for crate::video::TrackerDaSiamRPN
• TrackerDaSiamRPN_ParamsTrait
  Mutable methods for crate::video::TrackerDaSiamRPN_Params
• TrackerDaSiamRPN_ParamsTraitConst
  Constant methods for crate::video::TrackerDaSiamRPN_Params
• TrackerGOTURN
  the GOTURN (Generic Object Tracking Using Regression Networks) tracker
• TrackerGOTURNConst
  Constant methods for crate::video::TrackerGOTURN
• TrackerGOTURN_ParamsTrait
  Mutable methods for crate::video::TrackerGOTURN_Params
• TrackerGOTURN_ParamsTraitConst
  Constant methods for crate::video::TrackerGOTURN_Params
• TrackerMIL
  The MIL algorithm trains a classifier in an online manner to separate the object from the background.
• TrackerMILConst
  Constant methods for crate::video::TrackerMIL
• TrackerNano
  the Nano tracker is a super lightweight dnn-based general object tracking.
• TrackerNanoConst
  Constant methods for crate::video::TrackerNano
• TrackerNano_ParamsTrait
  Mutable methods for crate::video::TrackerNano_Params
• TrackerNano_ParamsTraitConst
  Constant methods for crate::video::TrackerNano_Params
• VariationalRefinement
  Variational optical flow refinement
• VariationalRefinementConst
  Constant methods for crate::video::VariationalRefinement

Functions

• build_optical_flow_pyramid
  Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
• calc_optical_flow_farneback
  Computes a dense optical flow using the Gunnar Farneback’s algorithm.
• calc_optical_flow_pyr_lk
  Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
• cam_shift
  Finds an object center, size, and orientation.
• compute_ecc
  Computes the Enhanced Correlation Coefficient value between two images EP08 .
• create_background_subtractor_knn
  Creates KNN Background Subtractor
• create_background_subtractor_mog2
  Creates MOG2 Background Subtractor
• estimate_rigid_transformDeprecated
  Computes an optimal affine transformation between two 2D point sets.
• find_transform_ecc
  Finds the geometric transform (warp) between two images in terms of the ECC criterion EP08 .
• find_transform_ecc_1
  Finds the geometric transform (warp) between two images in terms of the ECC criterion EP08 .
• mean_shift
  Finds an object on a back projection image.
• read_optical_flow
  Read a .flo file
• write_optical_flow
  Write a .flo to disk