cv::detail::tracking Namespace Reference

Namespaces
	contrib_feature
	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...