Module opencv::optflow

Optical Flow Algorithms

Dense optical flow algorithms compute motion for each point:

• cv::optflow::calcOpticalFlowSF
• cv::optflow::createOptFlow_DeepFlow

Motion templates is alternative technique for detecting motion and computing its direction. See samples/motempl.py.

• cv::motempl::updateMotionHistory
• cv::motempl::calcMotionGradient
• cv::motempl::calcGlobalOrientation
• cv::motempl::segmentMotion

Functions reading and writing .flo files in “Middlebury” format, see: http://vision.middlebury.edu/flow/code/flow-code/README.txt

• cv::optflow::readOpticalFlow
• cv::optflow::writeOpticalFlow

Modules

prelude

Structs

GPCDetails
GPCMatchingParams	Class encapsulating matching parameters.
GPCPatchDescriptor
GPCPatchSample
GPCTrainingParams	Class encapsulating training parameters.
GPCTrainingSamples	Class encapsulating training samples.
GPCTree	Class for individual tree.
GPCTree_Node
OpticalFlowPCAFlow	PCAFlow algorithm.
PCAPrior	@brief This class can be used for imposing a learned prior on the resulting optical flow. Solution will be regularized according to this prior. You need to generate appropriate prior file with “learn_prior.py” script beforehand.
RLOFOpticalFlowParameter	This is used store and set up the parameters of the robust local optical flow (RLOF) algoritm.

Enums

GPCDescType	Descriptor types for the Global Patch Collider.
InterpolationType
SolverType
SupportRegionType

Constants

GPC_DESCRIPTOR_DCT	Better quality but slow
GPC_DESCRIPTOR_WHT	Worse quality but much faster
INTERP_EPIC	< Edge-preserving interpolation using ximgproc::EdgeAwareInterpolator, see Revaud2015,Geistert2016.
INTERP_GEO	< Fast geodesic interpolation, see Geistert2016
INTERP_RIC	< SLIC based robust interpolation using ximgproc::RICInterpolator, see Hu2017.
SR_CROSS	< Apply a adaptive support region obtained by cross-based segmentation as described in Senst2014
SR_FIXED	< Apply a constant support region
ST_BILINEAR	< Apply optimized iterative refinement based bilinear equation solutions as described in Senst2013
ST_STANDART	< Apply standard iterative refinement

Traits

DenseRLOFOpticalFlow	Fast dense optical flow computation based on robust local optical flow (RLOF) algorithms and sparse-to-dense interpolation scheme.
DualTVL1OpticalFlow	“Dual TV L1” Optical Flow Algorithm.
GPCDetailsTrait
GPCPatchDescriptorTrait
GPCPatchSampleTrait
GPCTrainingSamplesTrait	Class encapsulating training samples.
GPCTreeTrait	Class for individual tree.
OpticalFlowPCAFlowTrait	PCAFlow algorithm.
PCAPriorTrait	@brief This class can be used for imposing a learned prior on the resulting optical flow. Solution will be regularized according to this prior. You need to generate appropriate prior file with “learn_prior.py” script beforehand.
RLOFOpticalFlowParameterTrait	This is used store and set up the parameters of the robust local optical flow (RLOF) algoritm.
SparseRLOFOpticalFlow	Class used for calculation sparse optical flow and feature tracking with robust local optical flow (RLOF) algorithms.

Functions

calc_global_orientation	Calculates a global motion orientation in a selected region.
calc_motion_gradient	Calculates a gradient orientation of a motion history image.
calc_optical_flow_dense_rlof	Fast dense optical flow computation based on robust local optical flow (RLOF) algorithms and sparse-to-dense interpolation scheme.
calc_optical_flow_sf	Calculate an optical flow using “SimpleFlow” algorithm.
calc_optical_flow_sf_1	Calculate an optical flow using “SimpleFlow” algorithm.
calc_optical_flow_sparse_rlof	Calculates fast optical flow for a sparse feature set using the robust local optical flow (RLOF) similar to optflow::calcOpticalFlowPyrLK().
calc_optical_flow_sparse_to_dense	Fast dense optical flow based on PyrLK sparse matches interpolation.
create_opt_flow_deep_flow	DeepFlow optical flow algorithm implementation.
create_opt_flow_dense_rlof	Additional interface to the Dense RLOF algorithm - optflow::calcOpticalFlowDenseRLOF()
create_opt_flow_dual_tvl1	Creates instance of cv::DenseOpticalFlow
create_opt_flow_farneback	Additional interface to the Farneback’s algorithm - calcOpticalFlowFarneback()
create_opt_flow_pca_flow	Creates an instance of PCAFlow
create_opt_flow_simple_flow	Additional interface to the SimpleFlow algorithm - calcOpticalFlowSF()
create_opt_flow_sparse_rlof	Additional interface to the Sparse RLOF algorithm - optflow::calcOpticalFlowSparseRLOF()
create_opt_flow_sparse_to_dense	Additional interface to the SparseToDenseFlow algorithm - calcOpticalFlowSparseToDense()
read
segment_motion	Splits a motion history image into a few parts corresponding to separate independent motions (for example, left hand, right hand).
update_motion_history	Updates the motion history image by a moving silhouette.
write