tracker.hpp File Reference

#include "opencv2/core.hpp"
#include "opencv2/imgproc/types_c.h"
#include "feature.hpp"
#include "onlineMIL.hpp"
#include "onlineBoosting.hpp"

Classes
class	cv::MultiTracker
	This class is used to track multiple objects using the specified tracker algorithm. More...
class	cv::MultiTracker_Alt
	Base abstract class for the long-term Multi Object Trackers: More...
class	cv::MultiTrackerTLD
	Multi Object Tracker for TLD. More...
struct	cv::TrackerCSRT::Params
struct	cv::TrackerGOTURN::Params
struct	cv::TrackerKCF::Params
struct	cv::TrackerTLD::Params
struct	cv::TrackerMedianFlow::Params
struct	cv::TrackerBoosting::Params
struct	cv::TrackerMIL::Params
struct	cv::TrackerFeatureHAAR::Params
struct	cv::TrackerSamplerPF::Params
	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. More...
struct	cv::TrackerSamplerCS::Params
struct	cv::TrackerSamplerCSC::Params
class	cv::Tracker
	Base abstract class for the long-term tracker: More...
class	cv::TrackerStateEstimatorAdaBoosting::TrackerAdaBoostingTargetState
	Implementation of the target state for TrackerAdaBoostingTargetState. More...
class	cv::TrackerBoosting
	the Boosting tracker More...
class	cv::TrackerCSRT
	the CSRT tracker More...
class	cv::TrackerFeature
	Abstract base class for TrackerFeature that represents the feature. More...
class	cv::TrackerFeatureFeature2d
	TrackerFeature based on Feature2D. More...
class	cv::TrackerFeatureHAAR
	TrackerFeature based on HAAR features, used by TrackerMIL and many others algorithms. More...
class	cv::TrackerFeatureHOG
	TrackerFeature based on HOG. More...
class	cv::TrackerFeatureLBP
	TrackerFeature based on LBP. More...
class	cv::TrackerFeatureSet
	Class that manages the extraction and selection of features. More...
class	cv::TrackerGOTURN
	the GOTURN (Generic Object Tracking Using Regression Networks) tracker More...
class	cv::TrackerKCF
	the KCF (Kernelized Correlation Filter) tracker More...
class	cv::TrackerMedianFlow
	the Median Flow tracker More...
class	cv::TrackerMIL
	The MIL algorithm trains a classifier in an online manner to separate the object from the background. More...
class	cv::TrackerStateEstimatorMILBoosting::TrackerMILTargetState
class	cv::TrackerModel
	Abstract class that represents the model of the target. It must be instantiated by specialized tracker. More...
class	cv::TrackerMOSSE
	the MOSSE (Minimum Output Sum of Squared Error) tracker More...
class	cv::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	cv::TrackerSamplerAlgorithm
	Abstract base class for TrackerSamplerAlgorithm that represents the algorithm for the specific sampler. More...
class	cv::TrackerSamplerCS
	TrackerSampler based on CS (current state), used by algorithm TrackerBoosting. More...
class	cv::TrackerSamplerCSC
	TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL. More...
class	cv::TrackerSamplerPF
	This sampler is based on particle filtering. More...
class	cv::TrackerStateEstimator
	Abstract base class for TrackerStateEstimator that estimates the most likely target state. More...
class	cv::TrackerStateEstimatorAdaBoosting
	TrackerStateEstimatorAdaBoosting based on ADA-Boosting. More...
class	cv::TrackerStateEstimatorMILBoosting
	TrackerStateEstimator based on Boosting. More...
class	cv::TrackerStateEstimatorSVM
	TrackerStateEstimator based on SVM. More...
class	cv::TrackerTargetState
	Abstract base class for TrackerTargetState that represents a possible state of the target. More...
class	cv::TrackerTLD
	the TLD (Tracking, learning and detection) tracker More...

Namespaces
namespace	cv
	"black box" representation of the file storage associated with a file on disk.

Typedefs
typedef std::vector< std::pair < Ptr< TrackerTargetState > , float > >	cv::ConfidenceMap
	Represents the model of the target at frame \(k\) (all states and scores)
typedef std::vector< Ptr < TrackerTargetState > >	cv::Trajectory
	Represents the estimate states for all frames.