public class opencv_tracking extends opencv_tracking
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_detail
\{
|
static String |
HFP_NAME |
static String |
HOGF_NAME |
static String |
LBPF_NAME |
static int |
N_BINS |
static int |
N_CELLS |
Constructor and Description |
---|
opencv_tracking() |
Modifier and Type | Method and Description |
---|---|
static UnscentedKalmanFilter |
createAugmentedUnscentedKalmanFilter(AugmentedUnscentedKalmanFilterParams params)
\brief Augmented Unscented Kalman Filter factory method
|
static ITrackerByMatching |
createTrackerByMatching() |
static ITrackerByMatching |
createTrackerByMatching(TrackerParams params)
\brief The factory to create Tracker-by-Matching algorithm implementation.
|
static UnscentedKalmanFilter |
createUnscentedKalmanFilter(UnscentedKalmanFilterParams params)
\brief Unscented Kalman Filter factory method
|
static BytePointer |
tld_getNextDatasetFrame() |
static Rect2d |
tld_InitDataset(int videoInd) |
static Rect2d |
tld_InitDataset(int videoInd,
BytePointer rootPath,
int datasetInd)
\addtogroup tracking_detail
\{
|
static Rect2d |
tld_InitDataset(int videoInd,
String rootPath,
int datasetInd) |
map
public static final String FEATURES
public static final String CC_FEATURES
public static final String CC_FEATURE_PARAMS
public static final String CC_MAX_CAT_COUNT
public static final String CC_FEATURE_SIZE
public static final String CC_NUM_FEATURES
public static final String CC_ISINTEGRAL
public static final String CC_RECTS
public static final String CC_TILTED
public static final String CC_RECT
public static final String LBPF_NAME
public static final String HOGF_NAME
public static final String HFP_NAME
public static final int CV_HAAR_FEATURE_MAX
public static final int N_BINS
public static final int N_CELLS
@Namespace(value="cv::detail::tracking::kalman_filters") @opencv_core.Ptr public static UnscentedKalmanFilter createUnscentedKalmanFilter(@Const @ByRef UnscentedKalmanFilterParams params)
The class implements an Unscented Kalman filter
params
- - an object of the UnscentedKalmanFilterParams class containing UKF parameters.@Namespace(value="cv::detail::tracking::kalman_filters") @opencv_core.Ptr public static UnscentedKalmanFilter createAugmentedUnscentedKalmanFilter(@Const @ByRef AugmentedUnscentedKalmanFilterParams params)
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.
params
- - an object of the AugmentedUnscentedKalmanFilterParams class containing AUKF parameters.@Namespace(value="cv::detail::tracking::tld") @ByVal public static Rect2d tld_InitDataset(int videoInd, @Cast(value="const char*") BytePointer rootPath, int datasetInd)
@Namespace(value="cv::detail::tracking::tld") @ByVal public static Rect2d tld_InitDataset(int videoInd)
@Namespace(value="cv::detail::tracking::tld") @ByVal public static Rect2d tld_InitDataset(int videoInd, String rootPath, int datasetInd)
@Namespace(value="cv::detail::tracking::tld") @opencv_core.Str public static BytePointer tld_getNextDatasetFrame()
@Namespace(value="cv::detail::tracking::tbm") @opencv_core.Ptr public static ITrackerByMatching createTrackerByMatching(@Const @ByRef(nullValue="cv::detail::tracking::tbm::TrackerParams()") TrackerParams params)
@Namespace(value="cv::detail::tracking::tbm") @opencv_core.Ptr public static ITrackerByMatching createTrackerByMatching()
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