OpenCV
4.5.1
Open Source Computer Vision
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#include "opencv2/core.hpp"
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 | |
cv | |
"black box" representation of the file storage associated with a file on disk. | |
cv::detail | |
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) More... | |
typedef std::vector< Ptr< TrackerTargetState > > | cv::detail::tracking::Trajectory |
Represents the estimate states for all frames. More... | |