Module opencv::video

Video Analysis

Motion Analysis

Object Tracking

C API

Modules

• prelude

Structs

• BackgroundSubtractor
  Base class for background/foreground segmentation. :
• BackgroundSubtractorKNN
  K-nearest neighbours - based Background/Foreground Segmentation Algorithm.
• BackgroundSubtractorMOG2
  Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
• DISOpticalFlow
  DIS optical flow algorithm.
• DenseOpticalFlow
  Base class for dense optical flow algorithms
• FarnebackOpticalFlow
  Class computing a dense optical flow using the Gunnar Farneback’s algorithm.
• KalmanFilter
  Kalman filter class.
• SparseOpticalFlow
  Base interface for sparse optical flow algorithms.
• SparsePyrLKOpticalFlow
  Class used for calculating a sparse optical flow.
• Tracker
  Base abstract class for the long-term tracker
• TrackerDaSiamRPN
• TrackerDaSiamRPN_Params
• TrackerGOTURN
  the GOTURN (Generic Object Tracking Using Regression Networks) tracker
• TrackerGOTURN_Params
• TrackerMIL
  The MIL algorithm trains a classifier in an online manner to separate the object from the background.
• TrackerMIL_Params
• TrackerNano
  the Nano tracker is a super lightweight dnn-based general object tracking.
• TrackerNano_Params
• TrackerVit
  the VIT tracker is a super lightweight dnn-based general object tracking.
• TrackerVit_Params
• VariationalRefinement
  Variational optical flow refinement

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

• BackgroundSubtractorKNNTrait
  Mutable methods for crate::video::BackgroundSubtractorKNN
• BackgroundSubtractorKNNTraitConst
  Constant methods for crate::video::BackgroundSubtractorKNN
• BackgroundSubtractorMOG2Trait
  Mutable methods for crate::video::BackgroundSubtractorMOG2
• BackgroundSubtractorMOG2TraitConst
  Constant methods for crate::video::BackgroundSubtractorMOG2
• BackgroundSubtractorTrait
  Mutable methods for crate::video::BackgroundSubtractor
• BackgroundSubtractorTraitConst
  Constant methods for crate::video::BackgroundSubtractor
• DISOpticalFlowTrait
  Mutable methods for crate::video::DISOpticalFlow
• DISOpticalFlowTraitConst
  Constant methods for crate::video::DISOpticalFlow
• DenseOpticalFlowTrait
  Mutable methods for crate::video::DenseOpticalFlow
• DenseOpticalFlowTraitConst
  Constant methods for crate::video::DenseOpticalFlow
• FarnebackOpticalFlowTrait
  Mutable methods for crate::video::FarnebackOpticalFlow
• FarnebackOpticalFlowTraitConst
  Constant methods for crate::video::FarnebackOpticalFlow
• KalmanFilterTrait
  Mutable methods for crate::video::KalmanFilter
• KalmanFilterTraitConst
  Constant methods for crate::video::KalmanFilter
• SparseOpticalFlowTrait
  Mutable methods for crate::video::SparseOpticalFlow
• SparseOpticalFlowTraitConst
  Constant methods for crate::video::SparseOpticalFlow
• SparsePyrLKOpticalFlowTrait
  Mutable methods for crate::video::SparsePyrLKOpticalFlow
• SparsePyrLKOpticalFlowTraitConst
  Constant methods for crate::video::SparsePyrLKOpticalFlow
• TrackerDaSiamRPNTrait
  Mutable methods for crate::video::TrackerDaSiamRPN
• TrackerDaSiamRPNTraitConst
  Constant methods for crate::video::TrackerDaSiamRPN
• TrackerDaSiamRPN_ParamsTrait
  Mutable methods for crate::video::TrackerDaSiamRPN_Params
• TrackerDaSiamRPN_ParamsTraitConst
  Constant methods for crate::video::TrackerDaSiamRPN_Params
• TrackerGOTURNTrait
  Mutable methods for crate::video::TrackerGOTURN
• TrackerGOTURNTraitConst
  Constant methods for crate::video::TrackerGOTURN
• TrackerGOTURN_ParamsTrait
  Mutable methods for crate::video::TrackerGOTURN_Params
• TrackerGOTURN_ParamsTraitConst
  Constant methods for crate::video::TrackerGOTURN_Params
• TrackerMILTrait
  Mutable methods for crate::video::TrackerMIL
• TrackerMILTraitConst
  Constant methods for crate::video::TrackerMIL
• TrackerNanoTrait
  Mutable methods for crate::video::TrackerNano
• TrackerNanoTraitConst
  Constant methods for crate::video::TrackerNano
• TrackerNano_ParamsTrait
  Mutable methods for crate::video::TrackerNano_Params
• TrackerNano_ParamsTraitConst
  Constant methods for crate::video::TrackerNano_Params
• TrackerTrait
  Mutable methods for crate::video::Tracker
• TrackerTraitConst
  Constant methods for crate::video::Tracker
• TrackerVitTrait
  Mutable methods for crate::video::TrackerVit
• TrackerVitTraitConst
  Constant methods for crate::video::TrackerVit
• TrackerVit_ParamsTrait
  Mutable methods for crate::video::TrackerVit_Params
• TrackerVit_ParamsTraitConst
  Constant methods for crate::video::TrackerVit_Params
• VariationalRefinementTrait
  Mutable methods for crate::video::VariationalRefinement
• VariationalRefinementTraitConst
  Constant methods for crate::video::VariationalRefinement

Functions

• build_optical_flow_pyramid
  Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
• build_optical_flow_pyramid_def
  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.
• calc_optical_flow_pyr_lk_def
  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 .
• compute_ecc_def
  Computes the Enhanced Correlation Coefficient value between two images EP08 .
• create_background_subtractor_knn
  Creates KNN Background Subtractor
• create_background_subtractor_knn_def
  Creates KNN Background Subtractor
• create_background_subtractor_mog2
  Creates MOG2 Background Subtractor
• create_background_subtractor_mog2_def
  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 .
• find_transform_ecc_1_def
  @overload
• 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