opencv2/video/tracking.hpp

#include <opencv2/core.hpp>
#include <opencv2/imgproc.hpp>

Include dependency graph for tracking.hpp:

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Classes

class cv::DenseOpticalFlow

class cv::DISOpticalFlow

DIS optical flow algorithm. More…

struct cv::ECCParameters

struct ECCParameters is used by findTransformECCMultiScale More…

class cv::FarnebackOpticalFlow

Class computing a dense optical flow using the Gunnar Farneback’s algorithm. More…

class cv::KalmanFilter

Kalman filter class. More…

struct cv::TrackerMIL::Params

struct cv::TrackerDaSiamRPN::Params

struct cv::TrackerNano::Params

struct cv::TrackerVit::Params

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::Tracker

Base abstract class for the long-term tracker. More…

class cv::TrackerDaSiamRPN

class cv::TrackerMIL

The [17] algorithm trains a classifier in an online manner to separate the object from the background. More…

class cv::TrackerNano

the Nano tracker is a super lightweight dnn-based general object tracking. More…

class cv::TrackerVit

the VIT tracker is a super lightweight dnn-based general object tracking. More…

class cv::VariationalRefinement

Variational optical flow refinement. More…

Namespaces

namespace cv

Enumerations

enum cv {
OPTFLOW_USE_INITIAL_FLOW = 4,
OPTFLOW_LK_GET_MIN_EIGENVALS = 8,
OPTFLOW_FARNEBACK_GAUSSIAN = 256
}

enum cv {
MOTION_TRANSLATION = 0,
MOTION_EUCLIDEAN = 1,
MOTION_AFFINE = 2,
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 (ECC) 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 [91] .

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())

double cv::findTransformECCMultiScale (InputArray reference, InputArray sample, InputOutputArray warpMatrix, const ECCParameters &eccParams=ECCParameters(), InputArray referenceMask=noArray(), InputArray sampleMask=noArray())

Finds the geometric transform (warp) between two images in terms of the ECC criterion [91]. Uses pyramids.

double cv::findTransformECCWithMask (InputArray templateImage, InputArray inputImage, InputArray templateMask, InputArray inputMask, InputOutputArray warpMatrix, int motionType=MOTION_AFFINE, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 50, 1e-6), int gaussFiltSize=5)

Finds the geometric transform (warp) between two images in terms of the ECC criterion [91] using validity masks for both the template and the input images.

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.