[−][src]Module opencv::tracking::prelude
Traits
| ClfMilBoostTrait | |
| ClfMilBoost_ParamsTrait | |
| CvFeatureParamsTrait | |
| CvHaarEvaluatorTrait | |
| CvHaarEvaluator_FeatureHaarTrait | |
| MultiTrackerTLDTrait | Multi Object %Tracker for TLD. |
| MultiTrackerTrait | ********************************** MultiTracker Class ---By Laksono Kurnianggoro---) *********************************** This class is used to track multiple objects using the specified tracker algorithm. |
| MultiTracker_AltTrait | Base abstract class for the long-term Multi Object Trackers: |
| Tracker | Base abstract class for the long-term tracker: |
| TrackerBoosting | the Boosting tracker |
| TrackerBoosting_ParamsTrait | |
| TrackerCSRT | ********************************* CSRT *********************************** the CSRT tracker |
| TrackerCSRT_ParamsTrait | |
| TrackerFeature | Abstract base class for TrackerFeature that represents the feature. |
| TrackerFeatureFeature2dTrait | \brief TrackerFeature based on Feature2D |
| TrackerFeatureHAARTrait | TrackerFeature based on HAAR features, used by TrackerMIL and many others algorithms |
| TrackerFeatureHAAR_ParamsTrait | |
| TrackerFeatureHOGTrait | \brief TrackerFeature based on HOG |
| TrackerFeatureLBPTrait | \brief TrackerFeature based on LBP |
| TrackerFeatureSetTrait | Class that manages the extraction and selection of features |
| TrackerGOTURN | the GOTURN (Generic Object Tracking Using Regression Networks) tracker |
| TrackerGOTURN_ParamsTrait | |
| TrackerKCF | the KCF (Kernelized Correlation Filter) tracker |
| TrackerKCF_ParamsTrait | |
| TrackerMIL | The MIL algorithm trains a classifier in an online manner to separate the object from the background. |
| TrackerMIL_ParamsTrait | |
| TrackerMOSSE | the MOSSE (Minimum Output Sum of Squared %Error) tracker |
| TrackerMedianFlow | the Median Flow tracker |
| TrackerMedianFlow_ParamsTrait | |
| TrackerModel | Abstract class that represents the model of the target. It must be instantiated by specialized tracker |
| TrackerSamplerAlgorithm | Abstract base class for TrackerSamplerAlgorithm that represents the algorithm for the specific sampler. |
| TrackerSamplerCSCTrait | TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL |
| TrackerSamplerCSC_ParamsTrait | |
| TrackerSamplerCSTrait | TrackerSampler based on CS (current state), used by algorithm TrackerBoosting |
| TrackerSamplerCS_ParamsTrait | |
| TrackerSamplerPFTrait | This sampler is based on particle filtering. |
| TrackerSamplerPF_ParamsTrait | This structure contains all the parameters that can be varied during the course of sampling algorithm. Below is the structure exposed, together with its members briefly explained with reference to the above discussion on algorithm's working. |
| TrackerSamplerTrait | Class that manages the sampler in order to select regions for the update the model of the tracker |
| TrackerStateEstimator | Abstract base class for TrackerStateEstimator that estimates the most likely target state. |
| TrackerStateEstimatorAdaBoostingTrait | TrackerStateEstimatorAdaBoosting based on ADA-Boosting |
| TrackerStateEstimatorAdaBoosting_TrackerAdaBoostingTargetStateTrait | Implementation of the target state for TrackerAdaBoostingTargetState |
| TrackerStateEstimatorMILBoostingTrait | TrackerStateEstimator based on Boosting |
| TrackerStateEstimatorMILBoosting_TrackerMILTargetStateTrait | Implementation of the target state for TrackerStateEstimatorMILBoosting |
| TrackerStateEstimatorSVMTrait | \brief TrackerStateEstimator based on SVM |
| TrackerTLD | the TLD (Tracking, learning and detection) tracker |
| TrackerTLD_ParamsTrait | |
| TrackerTargetStateTrait | Abstract base class for TrackerTargetState that represents a possible state of the target. |