| OpenCV 5.0.0alpha Open Source Computer Vision

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Classes | Namespaces | Typedefs
tracking.detail.hpp File Reference
`#include "opencv2/core.hpp"`
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## Classes
struct | cv::detail::tracking::TrackerSamplerCSC::Params
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::TrackerModel
| Abstract class that represents the model of the target. 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::TrackerSamplerAlgorithm
| Abstract base class for TrackerSamplerAlgorithm that represents the algorithm for the specific sampler. More...
class | cv::detail::tracking::TrackerSamplerCSC
| TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL. More...
class | cv::detail::tracking::TrackerStateEstimator
| Abstract base class for TrackerStateEstimator that estimates the most likely target state. More...
class | cv::detail::tracking::TrackerTargetState
| Abstract base class for TrackerTargetState that represents a possible state of the target. More...

## Namespaces
namespace | cv
namespace | cv::detail
namespace | cv::detail::tracking

## 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.