Module video 

Video Analysis

Motion Analysis

Object Tracking

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

Detail_TrackerFeature

Abstract base class for TrackerFeature that represents the feature.

Detail_TrackerFeatureSet

Class that manages the extraction and selection of features

Detail_TrackerModel

Abstract class that represents the model of the target.

Detail_TrackerSampler

Class that manages the sampler in order to select regions for the update the model of the tracker

Detail_TrackerSamplerAlgorithm

Abstract base class for TrackerSamplerAlgorithm that represents the algorithm for the specific sampler.

Detail_TrackerSamplerCSC

TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL

Detail_TrackerSamplerCSC_Params

Detail_TrackerStateEstimator

Abstract base class for TrackerStateEstimator that estimates the most likely target state.

Detail_TrackerTargetState

Abstract base class for TrackerTargetState that represents a possible state of the target.

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

Enums

Detail_TrackerSamplerCSC_MODE

Constants

DISOpticalFlow_PRESET_FAST

DISOpticalFlow_PRESET_MEDIUM

DISOpticalFlow_PRESET_ULTRAFAST

Detail_TrackerSamplerCSC_MODE_DETECT

mode for detect samples

Detail_TrackerSamplerCSC_MODE_INIT_NEG

mode for init negative samples

Detail_TrackerSamplerCSC_MODE_INIT_POS

mode for init positive samples

Detail_TrackerSamplerCSC_MODE_TRACK_NEG

mode for update negative samples

Detail_TrackerSamplerCSC_MODE_TRACK_POS

mode for update positive samples

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

Detail_TrackerFeatureSetTrait

Mutable methods for crate::video::Detail_TrackerFeatureSet

Detail_TrackerFeatureSetTraitConst

Constant methods for crate::video::Detail_TrackerFeatureSet

Detail_TrackerFeatureTrait

Mutable methods for crate::video::Detail_TrackerFeature

Detail_TrackerFeatureTraitConst

Constant methods for crate::video::Detail_TrackerFeature

Detail_TrackerModelTrait

Mutable methods for crate::video::Detail_TrackerModel

Detail_TrackerModelTraitConst

Constant methods for crate::video::Detail_TrackerModel

Detail_TrackerSamplerAlgorithmTrait

Mutable methods for crate::video::Detail_TrackerSamplerAlgorithm

Detail_TrackerSamplerAlgorithmTraitConst

Constant methods for crate::video::Detail_TrackerSamplerAlgorithm

Detail_TrackerSamplerCSCTrait

Mutable methods for crate::video::Detail_TrackerSamplerCSC

Detail_TrackerSamplerCSCTraitConst

Constant methods for crate::video::Detail_TrackerSamplerCSC

Detail_TrackerSamplerCSC_ParamsTrait

Mutable methods for crate::video::Detail_TrackerSamplerCSC_Params

Detail_TrackerSamplerCSC_ParamsTraitConst

Constant methods for crate::video::Detail_TrackerSamplerCSC_Params

Detail_TrackerSamplerTrait

Mutable methods for crate::video::Detail_TrackerSampler

Detail_TrackerSamplerTraitConst

Constant methods for crate::video::Detail_TrackerSampler

Detail_TrackerStateEstimatorTrait

Mutable methods for crate::video::Detail_TrackerStateEstimator

Detail_TrackerStateEstimatorTraitConst

Constant methods for crate::video::Detail_TrackerStateEstimator

Detail_TrackerTargetStateTrait

Mutable methods for crate::video::Detail_TrackerTargetState

Detail_TrackerTargetStateTraitConst

Constant methods for crate::video::Detail_TrackerTargetState

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

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

Type Aliases

Detail_ConfidenceMap

Represents the model of the target at frame inline formula (all states and scores)

Detail_Trajectory

Represents the estimate states for all frames