opencv_tracking (JavaCPP Presets for OpenCV 3.4.3-1.4.3 API)

java.lang.Object
- org.bytedeco.javacpp.presets.opencv_tracking
- - org.bytedeco.javacpp.opencv_tracking

All Implemented Interfaces:

org.bytedeco.javacpp.tools.InfoMapper
```
public class opencv_tracking
extends opencv_tracking
```

Nested Class Summary

Nested Classes
Modifier and Type	Class and Description
`static class`	`opencv_tracking.AugmentedUnscentedKalmanFilterParams` \brief Augmented Unscented Kalman filter parameters.
`static class`	`opencv_tracking.BaseClassifier`
`static class`	`opencv_tracking.ClassifierThreshold`
`static class`	`opencv_tracking.ClfMilBoost` \addtogroup tracking \{
`static class`	`opencv_tracking.ClfOnlineStump`
`static class`	`opencv_tracking.ConfidenceMap`
`static class`	`opencv_tracking.ConfidenceMapVector`
`static class`	`opencv_tracking.CvFeatureEvaluator`
`static class`	`opencv_tracking.CvFeatureParams`
`static class`	`opencv_tracking.CvHaarEvaluator`
`static class`	`opencv_tracking.CvHaarFeatureParams`
`static class`	`opencv_tracking.CvHOGEvaluator`
`static class`	`opencv_tracking.CvHOGFeatureParams`
`static class`	`opencv_tracking.CvLBPEvaluator`
`static class`	`opencv_tracking.CvLBPFeatureParams`
`static class`	`opencv_tracking.CvParams`
`static class`	`opencv_tracking.Detector`
`static class`	`opencv_tracking.EstimatedGaussDistribution`
`static class`	`opencv_tracking.MultiTracker` \brief This class is used to track multiple objects using the specified tracker algorithm.
`static class`	`opencv_tracking.MultiTracker_Alt` \brief Base abstract class for the long-term Multi Object Trackers:
`static class`	`opencv_tracking.MultiTrackerTLD` \brief Multi Object Tracker for TLD.
`static class`	`opencv_tracking.StringTrackerFeaturePairVector`
`static class`	`opencv_tracking.StringTrackerSamplerAlgorithmPairVector`
`static class`	`opencv_tracking.StrongClassifierDirectSelection` \addtogroup tracking \{
`static class`	`opencv_tracking.Tracker` \brief Base abstract class for the long-term tracker:
`static class`	`opencv_tracking.TrackerBoosting` \brief This is a real-time object tracking based on a novel on-line version of the AdaBoost algorithm.
`static class`	`opencv_tracking.TrackerCSRT` \brief Discriminative Correlation Filter Tracker with Channel and Spatial Reliability
`static class`	`opencv_tracking.TrackerFeature` \brief Abstract base class for TrackerFeature that represents the feature.
`static class`	`opencv_tracking.TrackerFeatureFeature2d` \brief TrackerFeature based on Feature2D
`static class`	`opencv_tracking.TrackerFeatureHAAR` \brief TrackerFeature based on HAAR features, used by TrackerMIL and many others algorithms \note HAAR features implementation is copied from apps/traincascade and modified according to MIL
`static class`	`opencv_tracking.TrackerFeatureHOG` \brief TrackerFeature based on HOG
`static class`	`opencv_tracking.TrackerFeatureLBP` \brief TrackerFeature based on LBP
`static class`	`opencv_tracking.TrackerFeatureSet` \brief Class that manages the extraction and selection of features
`static class`	`opencv_tracking.TrackerGOTURN` \brief GOTURN (\cite GOTURN) is kind of trackers based on Convolutional Neural Networks (CNN).
`static class`	`opencv_tracking.TrackerKCF` \brief KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed.
`static class`	`opencv_tracking.TrackerMedianFlow` \brief Median Flow tracker implementation.
`static class`	`opencv_tracking.TrackerMIL` \brief The MIL algorithm trains a classifier in an online manner to separate the object from the background.
`static class`	`opencv_tracking.TrackerModel` \brief Abstract class that represents the model of the target.
`static class`	`opencv_tracking.TrackerMOSSE` \brief the MOSSE tracker note, that this tracker works with grayscale images, if passed bgr ones, they will get converted internally.
`static class`	`opencv_tracking.TrackerSampler` \brief Class that manages the sampler in order to select regions for the update the model of the tracker
`static class`	`opencv_tracking.TrackerSamplerAlgorithm` \brief Abstract base class for TrackerSamplerAlgorithm that represents the algorithm for the specific sampler.
`static class`	`opencv_tracking.TrackerSamplerCS` \brief TrackerSampler based on CS (current state), used by algorithm TrackerBoosting
`static class`	`opencv_tracking.TrackerSamplerCSC` \brief TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL
`static class`	`opencv_tracking.TrackerSamplerPF` \brief This sampler is based on particle filtering.
`static class`	`opencv_tracking.TrackerStateEstimator` \brief Abstract base class for TrackerStateEstimator that estimates the most likely target state.
`static class`	`opencv_tracking.TrackerStateEstimatorAdaBoosting` \brief TrackerStateEstimatorAdaBoosting based on ADA-Boosting
`static class`	`opencv_tracking.TrackerStateEstimatorMILBoosting` \brief TrackerStateEstimator based on Boosting
`static class`	`opencv_tracking.TrackerStateEstimatorSVM` \brief TrackerStateEstimator based on SVM
`static class`	`opencv_tracking.TrackerTargetState` \brief Abstract base class for TrackerTargetState that represents a possible state of the target.
`static class`	`opencv_tracking.TrackerTLD` \brief TLD is a novel tracking framework that explicitly decomposes the long-term tracking task into tracking, learning and detection.
`static class`	`opencv_tracking.TrackerVector`
`static class`	`opencv_tracking.Trajectory`
`static class`	`opencv_tracking.UkfSystemModel` \brief Model of dynamical system for Unscented Kalman filter.
`static class`	`opencv_tracking.UnscentedKalmanFilter` \brief The interface for Unscented Kalman filter and Augmented Unscented Kalman filter.
`static class`	`opencv_tracking.UnscentedKalmanFilterParams` \brief Unscented Kalman filter parameters.
`static class`	`opencv_tracking.WeakClassifierHaarFeature`

Field Summary

Fields
Modifier and Type	Field and Description
`static String`	`CC_FEATURE_PARAMS`
`static String`	`CC_FEATURE_SIZE`
`static String`	`CC_FEATURES`
`static String`	`CC_ISINTEGRAL`
`static String`	`CC_MAX_CAT_COUNT`
`static String`	`CC_NUM_FEATURES`
`static String`	`CC_RECT`
`static String`	`CC_RECTS`
`static String`	`CC_TILTED`
`static int`	`CV_HAAR_FEATURE_MAX`
`static String`	`FEATURES` \addtogroup tracking \{
`static String`	`HFP_NAME`
`static String`	`HOGF_NAME`
`static String`	`LBPF_NAME`
`static int`	`N_BINS`
`static int`	`N_CELLS`

Constructor Summary

Constructors
Constructor and Description

opencv_tracking()

Constructors
Constructor and Description
`opencv_tracking()`

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static opencv_tracking.UnscentedKalmanFilter`	`createAugmentedUnscentedKalmanFilter(opencv_tracking.AugmentedUnscentedKalmanFilterParams params)` \brief Augmented Unscented Kalman Filter factory method
`static opencv_tracking.UnscentedKalmanFilter`	`createUnscentedKalmanFilter(opencv_tracking.UnscentedKalmanFilterParams params)` \brief Unscented Kalman Filter factory method
`static org.bytedeco.javacpp.BytePointer`	`tld_getNextDatasetFrame()`
`static opencv_core.Rect2d`	`tld_InitDataset(int videoInd)`
`static opencv_core.Rect2d`	`tld_InitDataset(int videoInd, org.bytedeco.javacpp.BytePointer rootPath, int datasetInd)` \}
`static opencv_core.Rect2d`	`tld_InitDataset(int videoInd, String rootPath, int datasetInd)`

Methods inherited from class org.bytedeco.javacpp.presets.opencv_tracking
map

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail
- FEATURES
```
public static final String FEATURES
```
  \addtogroup tracking \{
  
  See Also:
  
  Constant Field Values
- CC_FEATURES
```
public static final String CC_FEATURES
```
  See Also:
  
  Constant Field Values
- CC_FEATURE_PARAMS
```
public static final String CC_FEATURE_PARAMS
```
  See Also:
  
  Constant Field Values
- CC_MAX_CAT_COUNT
```
public static final String CC_MAX_CAT_COUNT
```
  See Also:
  
  Constant Field Values
- CC_FEATURE_SIZE
```
public static final String CC_FEATURE_SIZE
```
  See Also:
  
  Constant Field Values
- CC_NUM_FEATURES
```
public static final String CC_NUM_FEATURES
```
  See Also:
  
  Constant Field Values
- CC_ISINTEGRAL
```
public static final String CC_ISINTEGRAL
```
  See Also:
  
  Constant Field Values
- CC_RECTS
```
public static final String CC_RECTS
```
  See Also:
  
  Constant Field Values
- CC_TILTED
```
public static final String CC_TILTED
```
  See Also:
  
  Constant Field Values
- CC_RECT
```
public static final String CC_RECT
```
  See Also:
  
  Constant Field Values
- LBPF_NAME
```
public static final String LBPF_NAME
```
  See Also:
  
  Constant Field Values
- HOGF_NAME
```
public static final String HOGF_NAME
```
  See Also:
  
  Constant Field Values
- HFP_NAME
```
public static final String HFP_NAME
```
  See Also:
  
  Constant Field Values
- CV_HAAR_FEATURE_MAX
```
public static final int CV_HAAR_FEATURE_MAX
```
  See Also:
  
  Constant Field Values
- N_BINS
```
public static final int N_BINS
```
  See Also:
  
  Constant Field Values
- N_CELLS
```
public static final int N_CELLS
```
  See Also:
  
  Constant Field Values

Constructor Detail
- opencv_tracking
```
public opencv_tracking()
```

Method Detail

createUnscentedKalmanFilter

@Namespace(value="cv::tracking")
 @opencv_core.Ptr
public static opencv_tracking.UnscentedKalmanFilter createUnscentedKalmanFilter(@Const @ByRef
                                                                                                                                   opencv_tracking.UnscentedKalmanFilterParams params)

\brief Unscented Kalman Filter factory method

The class implements an Unscented Kalman filter .

Parameters:: params - - an object of the UnscentedKalmanFilterParams class containing UKF parameters.
Returns:: pointer to the object of the UnscentedKalmanFilterImpl class implementing UnscentedKalmanFilter.

createAugmentedUnscentedKalmanFilter
```
@Namespace(value="cv::tracking")
 @opencv_core.Ptr
public static opencv_tracking.UnscentedKalmanFilter createAugmentedUnscentedKalmanFilter(@Const @ByRef
                                                                                                                                            opencv_tracking.AugmentedUnscentedKalmanFilterParams params)
```
\brief Augmented Unscented Kalman Filter factory method
The class implements an Augmented Unscented Kalman filter http://becs.aalto.fi/en/research/bayes/ekfukf/documentation.pdf, page 31-33. AUKF is more accurate than UKF but its computational complexity is larger.

Parameters:

params - - an object of the AugmentedUnscentedKalmanFilterParams class containing AUKF parameters.

Returns:

pointer to the object of the AugmentedUnscentedKalmanFilterImpl class implementing UnscentedKalmanFilter.

tld_InitDataset

@Namespace(value="cv::tld")
 @ByVal
public static opencv_core.Rect2d tld_InitDataset(int videoInd,
                                                                                     @Cast(value="const char*")
                                                                                     org.bytedeco.javacpp.BytePointer rootPath,
                                                                                     int datasetInd)

tld_InitDataset

@Namespace(value="cv::tld")
 @ByVal
public static opencv_core.Rect2d tld_InitDataset(int videoInd)

tld_InitDataset

@Namespace(value="cv::tld")
 @ByVal
public static opencv_core.Rect2d tld_InitDataset(int videoInd,
                                                                                     String rootPath,
                                                                                     int datasetInd)

tld_getNextDatasetFrame

@Namespace(value="cv::tld")
 @opencv_core.Str
public static org.bytedeco.javacpp.BytePointer tld_getNextDatasetFrame()

Class opencv_tracking

Nested Class Summary

Field Summary

Constructor Summary

Method Summary

Methods inherited from class org.bytedeco.javacpp.presets.opencv_tracking

Methods inherited from class java.lang.Object

Field Detail

FEATURES

CC_FEATURES

CC_FEATURE_PARAMS

CC_MAX_CAT_COUNT

CC_FEATURE_SIZE

CC_NUM_FEATURES

CC_ISINTEGRAL

CC_RECTS

CC_TILTED

CC_RECT

LBPF_NAME

HOGF_NAME

HFP_NAME

CV_HAAR_FEATURE_MAX

N_BINS

N_CELLS

Constructor Detail

opencv_tracking

Method Detail

createUnscentedKalmanFilter

createAugmentedUnscentedKalmanFilter

tld_InitDataset

tld_InitDataset

tld_InitDataset

tld_getNextDatasetFrame