| Class | Description |
|---|---|
| AugmentedUnscentedKalmanFilterParams |
\brief Augmented Unscented Kalman filter parameters.
|
| BaseClassifier | |
| ClassifierThreshold | |
| ClfMilBoost |
\addtogroup tracking
\{
|
| ClfMilBoost.Params | |
| ClfOnlineStump | |
| ConfidenceMap | |
| ConfidenceMapVector | |
| ConfidenceMapVector.Iterator | |
| CvFeatureEvaluator | |
| CvFeatureParams | |
| CvHaarEvaluator | |
| CvHaarEvaluator.FeatureHaar | |
| CvHaarFeatureParams | |
| CvHOGEvaluator | |
| CvHOGFeatureParams | |
| CvLBPEvaluator | |
| CvLBPFeatureParams | |
| CvParams | |
| Detector | |
| EstimatedGaussDistribution | |
| MultiTracker |
\brief This class is used to track multiple objects using the specified tracker algorithm.
|
| MultiTracker_Alt |
\brief Base abstract class for the long-term Multi Object Trackers:
|
| MultiTrackerTLD |
\brief Multi Object %Tracker for TLD.
|
| StringTrackerFeaturePairVector | |
| StringTrackerSamplerAlgorithmPairVector | |
| StrongClassifierDirectSelection |
\addtogroup tracking
\{
|
| Tracker |
\brief Base abstract class for the long-term tracker:
|
| TrackerBoosting |
\brief the Boosting tracker
|
| TrackerBoosting.Params | |
| TrackerCSRT |
\brief the CSRT tracker
|
| TrackerCSRT.Params | |
| TrackerFeature |
\brief Abstract base class for TrackerFeature that represents the feature.
|
| TrackerFeatureFeature2d |
\brief TrackerFeature based on Feature2D
|
| TrackerFeatureHAAR |
\brief TrackerFeature based on HAAR features, used by TrackerMIL and many others algorithms
\note HAAR features implementation is copied from apps/traincascade and modified according to MIL
|
| TrackerFeatureHAAR.Params | |
| TrackerFeatureHOG |
\brief TrackerFeature based on HOG
|
| TrackerFeatureLBP |
\brief TrackerFeature based on LBP
|
| TrackerFeatureSet |
\brief Class that manages the extraction and selection of features
|
| TrackerGOTURN |
\brief the GOTURN (Generic Object Tracking Using Regression Networks) tracker
|
| TrackerGOTURN.Params | |
| TrackerKCF |
\brief the KCF (Kernelized Correlation Filter) tracker
|
| TrackerKCF.Arg0_Mat_Rect_Mat | |
| TrackerKCF.Params | |
| TrackerMedianFlow |
\brief the Median Flow tracker
|
| TrackerMedianFlow.Params | |
| TrackerMIL |
\brief The MIL algorithm trains a classifier in an online manner to separate the object from the
background.
|
| TrackerMIL.Params | |
| TrackerModel |
\brief Abstract class that represents the model of the target.
|
| TrackerMOSSE |
\brief the MOSSE (Minimum Output Sum of Squared %Error) tracker
|
| TrackerSampler |
\brief Class that manages the sampler in order to select regions for the update the model of the tracker
|
| TrackerSamplerAlgorithm |
\brief Abstract base class for TrackerSamplerAlgorithm that represents the algorithm for the specific
sampler.
|
| TrackerSamplerCS |
\brief TrackerSampler based on CS (current state), used by algorithm TrackerBoosting
|
| TrackerSamplerCS.Params | |
| TrackerSamplerCSC |
\brief TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL
|
| TrackerSamplerCSC.Params | |
| TrackerSamplerPF |
\brief This sampler is based on particle filtering.
|
| TrackerSamplerPF.Params |
\brief This structure contains all the parameters that can be varied during the course of sampling
algorithm.
|
| TrackerStateEstimator |
\brief Abstract base class for TrackerStateEstimator that estimates the most likely target state.
|
| TrackerStateEstimatorAdaBoosting |
\brief TrackerStateEstimatorAdaBoosting based on ADA-Boosting
|
| TrackerStateEstimatorAdaBoosting.TrackerAdaBoostingTargetState |
\brief Implementation of the target state for TrackerAdaBoostingTargetState
|
| TrackerStateEstimatorMILBoosting |
\brief TrackerStateEstimator based on Boosting
|
| TrackerStateEstimatorMILBoosting.TrackerMILTargetState |
Implementation of the target state for TrackerStateEstimatorMILBoosting
|
| TrackerStateEstimatorSVM |
\brief TrackerStateEstimator based on SVM
|
| TrackerTargetState |
\brief Abstract base class for TrackerTargetState that represents a possible state of the target.
|
| TrackerTLD |
\brief the TLD (Tracking, learning and detection) tracker
|
| TrackerTLD.Params | |
| TrackerVector | |
| TrackerVector.Iterator | |
| Trajectory | |
| Trajectory.Iterator | |
| 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 |
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