OpenCV  4.5.4-dev
Open Source Computer Vision
Namespaces | Classes | Typedefs
cv::detail::tracking Namespace Reference

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...