EstervQrCode 2.0.0
Library for qr code manipulation
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Classes | Typedefs
Tracking_detail

Classes

class  cv::detail::tracking::TrackerFeature
 Abstract base class for TrackerFeature that represents the feature. More...
 
class  cv::detail::tracking::TrackerFeatureSet
 Class that manages the extraction and selection of features. More...
 
class  cv::detail::tracking::TrackerSamplerAlgorithm
 Abstract base class for TrackerSamplerAlgorithm that represents the algorithm for the specific sampler. More...
 
class  cv::detail::tracking::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::detail::tracking::TrackerTargetState
 Abstract base class for TrackerTargetState that represents a possible state of the target. More...
 
class  cv::detail::tracking::TrackerStateEstimator
 Abstract base class for TrackerStateEstimator that estimates the most likely target state. More...
 
class  cv::detail::tracking::TrackerModel
 Abstract class that represents the model of the target. More...
 
class  cv::detail::tracking::TrackerSamplerCSC
 TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL. More...
 

Typedefs

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

Detailed Description

Typedef Documentation

◆ ConfidenceMap

Represents the model of the target at frame $k$ (all states and scores)

See [AAM] The set of the pair $\langle \hat{x}^{i}_{k}, C^{i}_{k} \rangle$

See also
TrackerTargetState

◆ Trajectory

Represents the estimate states for all frames.

[AAM] $x_{k}$ is the trajectory of the target up to time $k$

See also
TrackerTargetState