OpenCV
4.7.0
Open Source Computer Vision
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Namespaces | |
contrib_feature | |
kalman_filters | |
online_boosting | |
tbm | |
tld | |
Classes | |
class | TrackerContribFeature |
Abstract base class for TrackerContribFeature that represents the feature. More... | |
class | TrackerContribFeatureHAAR |
TrackerContribFeature based on HAAR features, used by TrackerMIL and many others algorithms. More... | |
class | TrackerContribFeatureSet |
Class that manages the extraction and selection of features. More... | |
class | TrackerContribSampler |
Class that manages the sampler in order to select regions for the update the model of the tracker [AAM] Sampling e Labeling. See table I and section III B. More... | |
class | TrackerContribSamplerAlgorithm |
Abstract base class for TrackerContribSamplerAlgorithm that represents the algorithm for the specific sampler. More... | |
class | TrackerContribSamplerCSC |
TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL. More... | |
class | TrackerFeature |
Abstract base class for TrackerFeature that represents the feature. More... | |
class | TrackerFeatureFeature2d |
TrackerContribFeature based on Feature2D. More... | |
class | TrackerFeatureHOG |
TrackerContribFeature based on HOG. More... | |
class | TrackerFeatureLBP |
TrackerContribFeature based on LBP. More... | |
class | TrackerFeatureSet |
Class that manages the extraction and selection of features. More... | |
class | TrackerModel |
Abstract class that represents the model of the target. More... | |
class | TrackerSampler |
Class that manages the sampler in order to select regions for the update the model of the tracker [AAM] Sampling e Labeling. See table I and section III B. More... | |
class | TrackerSamplerAlgorithm |
Abstract base class for TrackerSamplerAlgorithm that represents the algorithm for the specific sampler. More... | |
class | TrackerSamplerCS |
TrackerContribSampler based on CS (current state), used by algorithm TrackerBoosting. More... | |
class | TrackerSamplerCSC |
TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL. More... | |
class | TrackerSamplerPF |
This sampler is based on particle filtering. More... | |
class | TrackerStateEstimator |
Abstract base class for TrackerStateEstimator that estimates the most likely target state. More... | |
class | TrackerStateEstimatorAdaBoosting |
TrackerStateEstimatorAdaBoosting based on ADA-Boosting. More... | |
class | TrackerStateEstimatorSVM |
TrackerStateEstimator based on SVM. More... | |
class | TrackerTargetState |
Abstract base class for TrackerTargetState that represents a possible state of the target. More... | |
Typedefs | |
typedef std::vector< std::pair< Ptr< TrackerTargetState >, float > > | ConfidenceMap |
Represents the model of the target at frame \(k\) (all states and scores) More... | |
typedef std::vector< Ptr< TrackerTargetState > > | Trajectory |
Represents the estimate states for all frames. More... | |