Package org.bytedeco.opencv.opencv_tracking

Class Summary

Class	Description
AugmentedUnscentedKalmanFilterParams	\brief Augmented Unscented Kalman filter parameters.
BaseClassifier
ClassifierThreshold
CosDistance	\brief The CosDistance class allows computing cosine distance between two reidentification descriptors.
CvFeatureEvaluator
CvFeatureParams
CvHaarEvaluator
CvHaarEvaluator.FeatureHaar
CvHaarFeatureParams
CvHOGEvaluator
CvHOGFeatureParams
CvLBPEvaluator
CvLBPFeatureParams
CvParams
Detector
EstimatedGaussDistribution
IDescriptorDistance	\brief The IDescriptorDistance class declares an interface for distance computation between reidentification descriptors.
IImageDescriptor	\brief The IImageDescriptor class declares base class for image descriptor.
ITrackerByMatching	\brief Tracker-by-Matching algorithm interface.
MatchTemplateDistance	\brief Computes distance between images using MatchTemplate function from OpenCV library and its cross-correlation computation method in particular.
ResizedImageDescriptor	\brief Uses resized image as descriptor.
SizeTPointVectorMap
SizeTPointVectorMap.Iterator
SizeTTrackMap
SizeTTrackMap.Iterator
StrongClassifierDirectSelection
Track	\brief The Track class describes tracks.
TrackedObject	\brief The TrackedObject struct defines properties of detected object.
TrackedObjectDeque
TrackedObjectDeque.Iterator
TrackerCSRT	\brief the CSRT tracker
TrackerCSRT.Params
TrackerKCF	\brief the KCF (Kernelized Correlation Filter) tracker
TrackerKCF.FeatureExtractorCallbackFN
TrackerKCF.Params
TrackerParams	\brief The TrackerParams struct stores parameters of TrackerByMatching
UkfSystemModel	\brief Model of dynamical system for Unscented Kalman filter.
UnscentedKalmanFilter	\brief The interface for Unscented Kalman filter and Augmented Unscented Kalman filter.
UnscentedKalmanFilterParams	\brief Unscented Kalman filter parameters.
WeakClassifierHaarFeature