tracking.hpp File Reference

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

Classes
class	cv::DenseOpticalFlow
class	cv::DualTVL1OpticalFlow
	"Dual TV L1" Optical Flow Algorithm. More...
class	cv::KalmanFilter
	Kalman filter class. More...

Namespaces
	cv

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. More...
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. More...
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. More...
RotatedRect	cv::CamShift (InputArray probImage, Rect &window, TermCriteria criteria)
	Finds an object center, size, and orientation. More...
Ptr< DualTVL1OpticalFlow >	cv::createOptFlow_DualTVL1 ()
	Creates instance of cv::DenseOpticalFlow. More...
Mat	cv::estimateRigidTransform (InputArray src, InputArray dst, bool fullAffine)
	Computes an optimal affine transformation between two 2D point sets. More...
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())
	Finds the geometric transform (warp) between two images in terms of the ECC criterion [38] . More...
int	cv::meanShift (InputArray probImage, Rect &window, TermCriteria criteria)
	Finds an object on a back projection image. More...