modules/video/include/opencv2/video/tracking.hpp File Reference

#include "opencv2/core.hpp"
#include "opencv2/imgproc.hpp"

Classes
class	cv::DenseOpticalFlow
class	cv::DISOpticalFlow
	DIS optical flow algorithm. More...
class	cv::FarnebackOpticalFlow
	Class computing a dense optical flow using the Gunnar Farneback's algorithm. More...
class	cv::KalmanFilter
	Kalman filter class. More...
class	cv::SparseOpticalFlow
	Base interface for sparse optical flow algorithms. More...
class	cv::SparsePyrLKOpticalFlow
	Class used for calculating a sparse optical flow. More...
class	cv::VariationalRefinement
	Variational optical flow refinement. More...

Namespaces
namespace	cv
	"black box" representation of the file storage associated with a file on disk.

Enumerations
enum	{   cv::OPTFLOW_USE_INITIAL_FLOW = 4,   cv::OPTFLOW_LK_GET_MIN_EIGENVALS = 8,   cv::OPTFLOW_FARNEBACK_GAUSSIAN = 256 }
enum	{   cv::MOTION_TRANSLATION = 0,   cv::MOTION_EUCLIDEAN = 1,   cv::MOTION_AFFINE = 2,   cv::MOTION_HOMOGRAPHY = 3 }

Functions
int	cv::buildOpticalFlowPyramid (InputArray img, OutputArrayOfArrays pyramid, Size winSize, int 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.
void	cv::calcOpticalFlowFarneback (InputArray prev, InputArray next, InputOutputArray flow, double pyr_scale, int levels, int winsize, int iterations, int poly_n, double poly_sigma, int flags)
	Computes a dense optical flow using the Gunnar Farneback's algorithm.
void	cv::calcOpticalFlowPyrLK (InputArray prevImg, InputArray nextImg, InputArray prevPts, InputOutputArray nextPts, OutputArray status, OutputArray err, Size winSize=Size(21, 21), int maxLevel=3, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01), int flags=0, double minEigThreshold=1e-4)
	Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
RotatedRect	cv::CamShift (InputArray probImage, Rect &window, TermCriteria criteria)
	Finds an object center, size, and orientation.
double	cv::computeECC (InputArray templateImage, InputArray inputImage, InputArray inputMask=noArray())
	Computes the Enhanced Correlation Coefficient value between two images.
Mat	cv::estimateRigidTransform (InputArray src, InputArray dst, bool fullAffine)
	Computes an optimal affine transformation between two 2D point sets.
double	cv::findTransformECC (InputArray templateImage, InputArray inputImage, InputOutputArray warpMatrix, int motionType, TermCriteria criteria, InputArray inputMask, int gaussFiltSize)
	Finds the geometric transform (warp) between two images in terms of the ECC criterion.
double	cv::findTransformECC (InputArray templateImage, InputArray inputImage, InputOutputArray warpMatrix, int motionType=MOTION_AFFINE, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 50, 0.001), InputArray inputMask=noArray())
int	cv::meanShift (InputArray probImage, Rect &window, TermCriteria criteria)
	Finds an object on a back projection image.
Mat	cv::readOpticalFlow (const String &path)
	Read a .flo file.
bool	cv::writeOpticalFlow (const String &path, InputArray flow)
	Write a .flo to disk.