OpenCV  4.10.0
Open Source Computer Vision
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Classes | Namespaces | Enumerations | Functions
tracking.hpp File Reference
#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...
 
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::TrackerVit::Params
 
struct  cv::TrackerNano::Params
 
struct  cv::TrackerDaSiamRPN::Params
 
struct  cv::TrackerGOTURN::Params
 
struct  cv::TrackerMIL::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::TrackerGOTURN
 the GOTURN (Generic Object Tracking Using Regression Networks) tracker More...
 
class  cv::TrackerMIL
 The MIL 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
 "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 [80] .
 
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 [80] .
 
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.