| OpenCV 5.0.0alpha Open Source Computer Vision

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Classes | Namespaces | Typedefs | Enumerations | Functions
video.hpp File Reference
`#include <utility>`
`#include <opencv2/gapi/gkernel.hpp>`
Include dependency graph for video.hpp:

## Classes
struct | cv::gapi::video::BackgroundSubtractorParams
| Structure for the Background Subtractor operation's initialization parameters. More...
struct | cv::detail::CompileArgTag< cv::gapi::video::BackgroundSubtractorParams >
struct | cv::gapi::KalmanParams
| Structure for the Kalman filter's initialization parameters. More...

## Namespaces
namespace | cv
namespace | cv::detail
namespace | cv::gapi
namespace | cv::gapi::video
| This namespace contains G-API Operations and functions for video-oriented algorithms, like optical flow and background subtraction.

## Typedefs
using | cv::gapi::video::GBuildPyrOutput = std::tuple<GArray<GMat>, GScalar>
using | cv::gapi::video::GOptFlowLKOutput

## Enumerations
enum | cv::gapi::video::BackgroundSubtractorType { cv::gapi::video::TYPE_BS_MOG2 , cv::gapi::video::TYPE_BS_KNN }

## Functions
GMat | cv::gapi::BackgroundSubtractor (const GMat &src, const cv::gapi::video::BackgroundSubtractorParams &bsParams)
| Gaussian Mixture-based or K-nearest neighbours-based Background/Foreground Segmentation Algorithm. The operation generates a foreground mask.
std::tuple< GArray< GMat >, GScalar > | cv::gapi::buildOpticalFlowPyramid (const GMat &img, const Size &winSize, const GScalar &maxLevel, bool withDerivatives=true, int pyrBorder=BORDER_REFLECT_101, int derivBorder=BORDER_CONSTANT, bool tryReuseInputImage=true)
| Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
std::tuple< GArray< Point2f >, GArray< uchar >, GArray< float > > | cv::gapi::calcOpticalFlowPyrLK (const GArray< GMat > &prevPyr, const GArray< GMat > &nextPyr, const GArray< Point2f > &prevPts, const GArray< Point2f > &predPts, const Size &winSize=Size(21, 21), const GScalar &maxLevel=3, const TermCriteria &criteria=TermCriteria(TermCriteria::COUNT|TermCriteria::EPS, 30, 0.01), int flags=0, double minEigThresh=1e-4)
std::tuple< GArray< Point2f >, GArray< uchar >, GArray< float > > | cv::gapi::calcOpticalFlowPyrLK (const GMat &prevImg, const GMat &nextImg, const GArray< Point2f > &prevPts, const GArray< Point2f > &predPts, const Size &winSize=Size(21, 21), const GScalar &maxLevel=3, const TermCriteria &criteria=TermCriteria(TermCriteria::COUNT|TermCriteria::EPS, 30, 0.01), int flags=0, double minEigThresh=1e-4)
| Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
void | cv::gapi::video::checkParams (const cv::gapi::KalmanParams &kfParams, const cv::GMatDesc &measurement, const cv::GMatDesc &control={})
| cv::gapi::video::G_TYPED_KERNEL (GBackgroundSubtractor,< GMat(GMat, BackgroundSubtractorParams)>, "org.opencv.video.BackgroundSubtractor")
| cv::gapi::video::G_TYPED_KERNEL (GBuildOptFlowPyramid,< GBuildPyrOutput(GMat, Size, GScalar, bool, int, int, bool)>, "org.opencv.video.buildOpticalFlowPyramid")
| cv::gapi::video::G_TYPED_KERNEL (GCalcOptFlowLK,< GOptFlowLKOutput(GMat, GMat, cv::GArray< cv::Point2f >, cv::GArray< cv::Point2f >, Size, GScalar, TermCriteria, int, double)>, "org.opencv.video.calcOpticalFlowPyrLK")
| cv::gapi::video::G_TYPED_KERNEL (GCalcOptFlowLKForPyr,< GOptFlowLKOutput(cv::GArray< cv::GMat >, cv::GArray< cv::GMat >, cv::GArray< cv::Point2f >, cv::GArray< cv::Point2f >, Size, GScalar, TermCriteria, int, double)>, "org.opencv.video.calcOpticalFlowPyrLKForPyr")
| cv::gapi::video::G_TYPED_KERNEL (GKalmanFilter,< GMat(GMat, GOpaque< bool >, GMat, KalmanParams)>, "org.opencv.video.KalmanFilter")
GMat | cv::gapi::KalmanFilter (const GMat &measurement, const GOpaque< bool > &haveMeasurement, const cv::gapi::KalmanParams &kfParams)
GMat | cv::gapi::KalmanFilter (const GMat &measurement, const GOpaque< bool > &haveMeasurement, const GMat &control, const cv::gapi::KalmanParams &kfParams)
| Standard Kalman filter algorithm http://en.wikipedia.org/wiki/Kalman_filter.