| Package | Description |
|---|---|
| org.bytedeco.opencv.global | |
| org.bytedeco.opencv.opencv_tracking |
| Class and Description |
|---|
| AugmentedUnscentedKalmanFilterParams
\brief Augmented Unscented Kalman filter parameters.
|
| UnscentedKalmanFilter
\brief The interface for Unscented Kalman filter and Augmented Unscented Kalman filter.
|
| UnscentedKalmanFilterParams
\brief Unscented Kalman filter parameters.
|
| Class and Description |
|---|
| AugmentedUnscentedKalmanFilterParams
\brief Augmented Unscented Kalman filter parameters.
|
| ClfMilBoost
\addtogroup tracking
\{
|
| ClfMilBoost.Params |
| ClfOnlineStump |
| ConfidenceMap |
| ConfidenceMapVector |
| ConfidenceMapVector.Iterator |
| CvFeatureEvaluator |
| CvFeatureParams |
| CvHaarEvaluator |
| CvHaarEvaluator.FeatureHaar |
| CvHaarFeatureParams |
| CvHOGEvaluator |
| CvHOGFeatureParams |
| CvLBPEvaluator |
| CvLBPFeatureParams |
| CvParams |
| 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.
|
| 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 |
| 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.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.
|
| 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.
|
| UnscentedKalmanFilterParams
\brief Unscented Kalman filter parameters.
|
| WeakClassifierHaarFeature |
Copyright © 2020. All rights reserved.