#include <vpKltOpencv.h>

Public Member Functions
	vpKltOpencv ()

	vpKltOpencv (const vpKltOpencv &copy)

virtual	~vpKltOpencv ()

void	addFeature (const float &x, const float &y)

void	addFeature (const long &id, const float &x, const float &y)

void	addFeature (const cv::Point2f &f)

void	display (const vpImage< unsigned char > &I, const vpColor &color=vpColor::red, unsigned int thickness=1)

int	getBlockSize () const

void	getFeature (const int &index, int &id, float &x, float &y) const

std::vector< cv::Point2f >	getFeatures () const

std::vector< long >	getFeaturesId () const

double	getHarrisFreeParameter () const

int	getMaxFeatures () const

double	getMinDistance () const

int	getNbFeatures () const

int	getNbPrevFeatures () const

std::vector< cv::Point2f >	getPrevFeatures () const

int	getPyramidLevels () const

double	getQuality () const

int	getWindowSize () const

void	initTracking (const cv::Mat &I, const cv::Mat &mask=cv::Mat())

void	initTracking (const cv::Mat &I, const std::vector< cv::Point2f > &pts)

void	initTracking (const cv::Mat &I, const std::vector< cv::Point2f > &pts, const std::vector< long > &ids)

vpKltOpencv &	operator= (const vpKltOpencv &copy)

void	track (const cv::Mat &I)

void	setBlockSize (const int blockSize)

void	setHarrisFreeParameter (double harris_k)

void	setInitialGuess (const std::vector< cv::Point2f > &guess_pts)

void	setMaxFeatures (const int maxCount)

void	setMinDistance (double minDistance)

void	setMinEigThreshold (double minEigThreshold)

void	setPyramidLevels (const int pyrMaxLevel)

void	setQuality (double qualityLevel)

void	setTrackerId (int tid)

void	setUseHarris (const int useHarrisDetector)

void	setWindowSize (const int winSize)

void	suppressFeature (const int &index)

Static Public Member Functions
static void	display (const vpImage< unsigned char > &I, const std::vector< cv::Point2f > &features, const vpColor &color=vpColor::green, unsigned int thickness=1)

static void	display (const vpImage< vpRGBa > &I, const std::vector< cv::Point2f > &features, const vpColor &color=vpColor::green, unsigned int thickness=1)

static void	display (const vpImage< unsigned char > &I, const std::vector< cv::Point2f > &features, const std::vector< long > &featuresid, const vpColor &color=vpColor::green, unsigned int thickness=1)

static void	display (const vpImage< vpRGBa > &I, const std::vector< cv::Point2f > &features, const std::vector< long > &featuresid, const vpColor &color=vpColor::green, unsigned int thickness=1)

Protected Attributes
cv::Mat	m_gray

cv::Mat	m_prevGray

std::vector< cv::Point2f >	m_points [2]

std::vector< long >	m_points_id

int	m_maxCount

cv::TermCriteria	m_termcrit

int	m_winSize

double	m_qualityLevel

double	m_minDistance

double	m_minEigThreshold

double	m_harris_k

int	m_blockSize

int	m_useHarrisDetector

int	m_pyrMaxLevel

long	m_next_points_id

bool	m_initial_guess

Detailed Description

Wrapper for the KLT (Kanade-Lucas-Tomasi) feature tracker implemented in OpenCV.

The following example available in tutorial-klt-tracker.cpp shows how to use the main functions of the class.

#include <visp/vpImageConvert.h>
#include <visp/vpKltOpencv.h>
#include <visp/vpDisplayOpenCV.h>
#include <visp/vpVideoReader.h>
int main(int argc, const char *argv[])
{
#ifdef VISP_HAVE_OPENCV
  try {
    bool opt_init_by_click = false;
    for (int i=0; i<argc; i++) {
      if (std::string(argv[i]) == "--init-by-click")
        opt_init_by_click = true;
      else if (std::string(argv[i]) == "--help") {
        std::cout << "Usage: " << argv[0] << " [--init-by-click] [--help]" << std::endl;
        return 0;
      }
    }
    vpVideoReader reader;
    reader.setFileName("video-postcard.mpeg");
    vpImage<unsigned char> I;
    reader.acquire(I);
#if (VISP_HAVE_OPENCV_VERSION < 0x020408)
    IplImage * cvI = NULL;
#else
    cv::Mat cvI;
#endif
    vpImageConvert::convert(I, cvI);
    vpDisplayOpenCV d(I, 0, 0, "Klt tracking");
    vpDisplay::display(I);
    vpDisplay::flush(I);
    vpKltOpencv tracker;
    tracker.setMaxFeatures(200);
    tracker.setWindowSize(10);
    tracker.setQuality(0.01);
    tracker.setMinDistance(15);
    tracker.setHarrisFreeParameter(0.04);
    tracker.setBlockSize(9);
    tracker.setUseHarris(1);
    tracker.setPyramidLevels(3);
    // Initialise the tracking
    if (opt_init_by_click) {
      vpMouseButton::vpMouseButtonType button = vpMouseButton::button1;
#if (VISP_HAVE_OPENCV_VERSION < 0x020408)
      std::vector<CvPoint2D32f> feature;
#else
      std::vector<cv::Point2f> feature;
#endif
      vpImagePoint ip;
      do {
        vpDisplay::displayText(I, 10, 10,
                               "Left click to select a point, right to start tracking",
                               vpColor::red);
        if (vpDisplay::getClick(I, ip, button, false)) {
          if (button == vpMouseButton::button1) {
            feature.push_back(cv::Point2f((float)ip.get_u(), (float)ip.get_v()));
            vpDisplay::displayCross(I, ip, 12, vpColor::green);
          }
        }
        vpDisplay::flush(I);
        vpTime::wait(20);
      } while(button != vpMouseButton::button3);
#if (VISP_HAVE_OPENCV_VERSION < 0x020408)
      tracker.initTracking(cvI, &feature[0], feature.size());
#else
      tracker.initTracking(cvI, feature);
#endif
    }
    else {
      tracker.initTracking(cvI);
    }
    std::cout << "Tracker initialized with " << tracker.getNbFeatures() << " features" << std::endl;
    while ( ! reader.end() )
    {
      reader.acquire(I);
      vpDisplay::display(I);
      vpImageConvert::convert(I, cvI);
      if (opt_init_by_click && reader.getFrameIndex() == reader.getFirstFrameIndex() + 20) {
        vpMouseButton::vpMouseButtonType button = vpMouseButton::button1;
#if (VISP_HAVE_OPENCV_VERSION < 0x020408)
        std::vector<CvPoint2D32f> feature;
#else
        std::vector<cv::Point2f> feature;
#endif
        vpImagePoint ip;
        do {
          vpDisplay::displayText(I, 10, 10,
                                 "Left click to select a point, right to start tracking",
                                 vpColor::red);
          if (vpDisplay::getClick(I, ip, button, false)) {
            if (button == vpMouseButton::button1) {
              feature.push_back(cv::Point2f((float)ip.get_u(), (float)ip.get_v()));
              vpDisplay::displayCross(I, ip, 12, vpColor::green);
            }
          }
          vpDisplay::flush(I);
          vpTime::wait(20);
        } while(button != vpMouseButton::button3);
#if (VISP_HAVE_OPENCV_VERSION < 0x020408)
        tracker.initTracking(cvI, &feature[0], feature.size());
#else
        tracker.initTracking(cvI, feature);
#endif
      }
      tracker.track(cvI);
      tracker.display(I, vpColor::red);
      vpDisplay::flush(I);
    }
    vpDisplay::getClick(I);
#if (VISP_HAVE_OPENCV_VERSION < 0x020408)
    cvReleaseImage(&cvI);
#endif
    return 0;
  }
  catch(vpException e) {
    std::cout << "Catch an exception: " << e << std::endl;
  }
#else
  (void)argc;
  (void)argv;
#endif
}

A line by line explanation is provided in Tutorial: Keypoint tracking.

Examples:: mbtEdgeKltTracking.cpp, mbtKltTracking.cpp, trackKltOpencv.cpp, tutorial-klt-tracker-live-v4l2.cpp, tutorial-klt-tracker-with-reinit.cpp, tutorial-klt-tracker.cpp, tutorial-mb-hybrid-tracker.cpp, and tutorial-mb-klt-tracker.cpp.

Definition at line 79 of file vpKltOpencv.h.

Constructor & Destructor Documentation

vpKltOpencv::vpKltOpencv ( )

Default constructor.

Definition at line 64 of file vpKltOpencv.cpp.

References m_termcrit.

vpKltOpencv::vpKltOpencv ( const vpKltOpencv & copy )

Copy constructor.

Definition at line 76 of file vpKltOpencv.cpp.

vpKltOpencv::~vpKltOpencv ( )

virtual

Definition at line 110 of file vpKltOpencv.cpp.

Member Function Documentation

void vpKltOpencv::addFeature	(	const float &	x,
		const float &	y
	)

Add a keypoint at the end of the feature list. The id of the feature is set to ensure that it is unique.

Parameters

x,y	: Coordinates of the feature in the image.

Examples:: tutorial-klt-tracker-with-reinit.cpp.

Definition at line 512 of file vpKltOpencv.cpp.

References m_next_points_id, m_points, and m_points_id.

void vpKltOpencv::addFeature	(	const long &	id,
		const float &	x,
		const float &	y
	)

Deprecated:: Add a keypoint at the end of the feature list. This function is deprecated since it doesn't ensure that the id of the feature is unique. You should rather use addFeature(const float &, const float &) or addFeature(const cv::Point2f &).

Parameters

id	: Feature id. Should be unique
x,y	: Coordinates of the feature in the image.

Definition at line 529 of file vpKltOpencv.cpp.

References m_next_points_id, m_points, and m_points_id.

void vpKltOpencv::addFeature ( const cv::Point2f & f )

Add a keypoint at the end of the feature list. The id of the feature is set to ensure that it is unique.

Parameters

f	: Coordinates of the feature in the image.

Definition at line 544 of file vpKltOpencv.cpp.

References m_next_points_id, m_points, and m_points_id.

void vpKltOpencv::display	(	const vpImage< unsigned char > &	I,
		const vpColor &	color = `vpColor::red`,
		unsigned int	thickness = `1`
	)

Display features position and id.

Parameters

I	: Image used as background. Display should be initialized on it.
color	: Color used to display the features.
thickness	: Thickness of the drawings.

Examples:: trackKltOpencv.cpp, tutorial-klt-tracker-live-v4l2.cpp, tutorial-klt-tracker-with-reinit.cpp, and tutorial-klt-tracker.cpp.

Definition at line 223 of file vpKltOpencv.cpp.

References m_points, and m_points_id.

void vpKltOpencv::display	(	const vpImage< unsigned char > &	I,
		const std::vector< cv::Point2f > &	features,
		const vpColor &	color = `vpColor::green`,
		unsigned int	thickness = `1`
	)

static

Display features list.

Parameters

I	: The image used as background.
features	: Vector of features.
color	: Color used to display the points.
thickness	: Thickness of the points.

Definition at line 241 of file vpKltOpencv.cpp.

References vpDisplay::displayCross(), vpMath::round(), vpImagePoint::set_u(), and vpImagePoint::set_v().

void vpKltOpencv::display	(	const vpImage< vpRGBa > &	I,
		const std::vector< cv::Point2f > &	features,
		const vpColor &	color = `vpColor::green`,
		unsigned int	thickness = `1`
	)

static

Display features list.

Parameters

I	: The image used as background.
features	: Vector of features.
color	: Color used to display the points.
thickness	: Thickness of the points.

Definition at line 264 of file vpKltOpencv.cpp.

References vpDisplay::displayCross(), vpMath::round(), vpImagePoint::set_u(), and vpImagePoint::set_v().

void vpKltOpencv::display	(	const vpImage< unsigned char > &	I,
		const std::vector< cv::Point2f > &	features,
		const std::vector< long > &	featuresid,
		const vpColor &	color = `vpColor::green`,
		unsigned int	thickness = `1`
	)

static

Display features list with ids.

Parameters

I	: The image used as background.
features	: Vector of features.
featuresid	: Vector of ids corresponding to the features.
color	: Color used to display the points.
thickness	: Thickness of the points

Definition at line 289 of file vpKltOpencv.cpp.

References vpDisplay::displayCross(), vpDisplay::displayText(), vpMath::round(), vpImagePoint::set_u(), and vpImagePoint::set_v().

void vpKltOpencv::display	(	const vpImage< vpRGBa > &	I,
		const std::vector< cv::Point2f > &	features,
		const std::vector< long > &	featuresid,
		const vpColor &	color = `vpColor::green`,
		unsigned int	thickness = `1`
	)

static

Display features list with ids.

Parameters

I	: The image used as background.
features	: Vector of features.
featuresid	: Vector of ids corresponding to the features.
color	: Color used to display the points.
thickness	: Thickness of the points

Definition at line 320 of file vpKltOpencv.cpp.

References vpDisplay::displayCross(), vpDisplay::displayText(), vpMath::round(), vpImagePoint::set_u(), and vpImagePoint::set_v().

int vpKltOpencv::getBlockSize ( ) const

inline

Get the size of the averaging block used to track the features.

Definition at line 104 of file vpKltOpencv.h.

Referenced by vpMbKltTracker::setKltOpencv().

void vpKltOpencv::getFeature	(	const int &	index,
		int &	id,
		float &	x,
		float &	y
	)		const

Get the 'index'th feature image coordinates. Beware that getFeature(i,...) may not represent the same feature before and after a tracking iteration (if a feature is lost, features are shifted in the array).

Parameters

index	: Index of feature.
id	: id of the feature.
x	: x coordinate.
y	: y coordinate.

Examples:: tutorial-klt-tracker-with-reinit.cpp.

Definition at line 205 of file vpKltOpencv.cpp.

References vpException::badValue, m_points, and m_points_id.

Referenced by vpMbtDistanceKltPoints::computeNbDetectedCurrent(), vpMbKltTracker::getKltImagePoints(), vpMbKltTracker::getKltImagePointsWithId(), and vpMbtDistanceKltPoints::init().

std::vector<cv::Point2f> vpKltOpencv::getFeatures ( ) const

inline

Get the list of current features.

Examples:: tutorial-klt-tracker-with-reinit.cpp.

Definition at line 107 of file vpKltOpencv.h.

Referenced by vpMbKltTracker::getKltPoints().

std::vector<long> vpKltOpencv::getFeaturesId ( ) const

inline

Get the unique id of each feature.

Definition at line 110 of file vpKltOpencv.h.

double vpKltOpencv::getHarrisFreeParameter ( ) const

inline

Get the free parameter of the Harris detector.

Definition at line 113 of file vpKltOpencv.h.

Referenced by vpMbKltTracker::setKltOpencv().

int vpKltOpencv::getMaxFeatures ( ) const

inline

Get the list of lost feature.

Get the maximum number of features to track in the image.

Examples:: tutorial-klt-tracker-with-reinit.cpp.

Definition at line 117 of file vpKltOpencv.h.

Referenced by vpMbKltTracker::setKltOpencv().

double vpKltOpencv::getMinDistance ( ) const

inline

Get the minimal Euclidean distance between detected corners during initialization.

Examples:: tutorial-klt-tracker-with-reinit.cpp.

Definition at line 119 of file vpKltOpencv.h.

Referenced by vpMbKltTracker::setKltOpencv().

int vpKltOpencv::getNbFeatures ( ) const

inline

Get the number of current features.

Examples:: tutorial-klt-tracker-with-reinit.cpp, and tutorial-klt-tracker.cpp.

Definition at line 121 of file vpKltOpencv.h.

Referenced by vpMbtDistanceKltPoints::computeNbDetectedCurrent(), vpMbKltTracker::getKltImagePoints(), vpMbKltTracker::getKltImagePointsWithId(), vpMbKltTracker::getNbKltPoints(), and vpMbtDistanceKltPoints::init().

int vpKltOpencv::getNbPrevFeatures ( ) const

inline

Get the number of previous features.

Definition at line 123 of file vpKltOpencv.h.

std::vector<cv::Point2f> vpKltOpencv::getPrevFeatures ( ) const

inline

Get the list of previous features.

Definition at line 126 of file vpKltOpencv.h.

int vpKltOpencv::getPyramidLevels ( ) const

inline

Get the list of features id.

Get the maximal pyramid level.

Definition at line 131 of file vpKltOpencv.h.

Referenced by vpMbKltTracker::setKltOpencv().

double vpKltOpencv::getQuality ( ) const

inline

Get the parameter characterizing the minimal accepted quality of image corners.

Definition at line 133 of file vpKltOpencv.h.

Referenced by vpMbKltTracker::setKltOpencv().

int vpKltOpencv::getWindowSize ( ) const

inline

Get the window size used to refine the corner locations.

Definition at line 135 of file vpKltOpencv.h.

Referenced by vpMbKltTracker::setKltOpencv().

void vpKltOpencv::initTracking	(	const cv::Mat &	I,
		const cv::Mat &	mask = `cv::Mat()`
	)

Initialise the tracking by extracting KLT keypoints on the provided image.

Parameters

I	: Grey level image used as input. This image should have only 1 channel.
mask	: Image mask used to restrict the keypoint detection area. If mask is NULL, all the image will be considered.

Exceptions

vpTrackingException::initializationError : If the image I is not initialized, or if the image or the mask have bad coding format.

Examples:: trackKltOpencv.cpp, tutorial-klt-tracker-live-v4l2.cpp, tutorial-klt-tracker-with-reinit.cpp, and tutorial-klt-tracker.cpp.

Definition at line 124 of file vpKltOpencv.cpp.

References m_blockSize, m_gray, m_harris_k, m_maxCount, m_minDistance, m_next_points_id, m_points, m_points_id, m_qualityLevel, m_termcrit, and m_winSize.

Referenced by vpMbKltTracker::reinit(), and vpMbKltTracker::setPose().

void vpKltOpencv::initTracking	(	const cv::Mat &	I,
		const std::vector< cv::Point2f > &	pts
	)

Set the points that will be used as initialization during the next call to track().

Parameters

I	: Input image.
pts	: Vector of points that should be tracked.

Definition at line 469 of file vpKltOpencv.cpp.

References m_gray, m_initial_guess, m_next_points_id, m_points, and m_points_id.

void vpKltOpencv::initTracking	(	const cv::Mat &	I,
		const std::vector< cv::Point2f > &	pts,
		const std::vector< long > &	ids
	)

Definition at line 483 of file vpKltOpencv.cpp.

References m_gray, m_initial_guess, m_next_points_id, m_points, and m_points_id.

vpKltOpencv & vpKltOpencv::operator= ( const vpKltOpencv & copy )

Copy operator.

Definition at line 87 of file vpKltOpencv.cpp.

References m_blockSize, m_gray, m_harris_k, m_initial_guess, m_maxCount, m_minDistance, m_minEigThreshold, m_next_points_id, m_points, m_points_id, m_prevGray, m_pyrMaxLevel, m_qualityLevel, m_termcrit, m_useHarrisDetector, and m_winSize.

void vpKltOpencv::setBlockSize ( const int blockSize )

Set the size of the averaging block used to track the features.

Warning: The input is a signed integer to be compatible with OpenCV. However, it must be a positive integer.

Parameters

blockSize : Size of an average block for computing a derivative covariation matrix over each pixel neighborhood. Default value is set to 3.

Examples:: mbtEdgeKltTracking.cpp, mbtKltTracking.cpp, trackKltOpencv.cpp, tutorial-klt-tracker-live-v4l2.cpp, tutorial-klt-tracker-with-reinit.cpp, tutorial-klt-tracker.cpp, tutorial-mb-hybrid-tracker.cpp, and tutorial-mb-klt-tracker.cpp.

Definition at line 420 of file vpKltOpencv.cpp.

References m_blockSize.

Referenced by vpMbEdgeKltTracker::loadConfigFile(), vpMbKltTracker::loadConfigFile(), vpMbKltTracker::resetTracker(), vpMbKltTracker::setKltOpencv(), and vpMbKltTracker::vpMbKltTracker().

void vpKltOpencv::setHarrisFreeParameter ( double harris_k )

Set the free parameter of the Harris detector.

Parameters

harris_k : Free parameter of the Harris detector. Default value is set to 0.04.

Examples:: mbtEdgeKltTracking.cpp, mbtKltTracking.cpp, trackKltOpencv.cpp, tutorial-klt-tracker-live-v4l2.cpp, tutorial-klt-tracker-with-reinit.cpp, tutorial-klt-tracker.cpp, tutorial-mb-hybrid-tracker.cpp, and tutorial-mb-klt-tracker.cpp.

Definition at line 376 of file vpKltOpencv.cpp.

References m_harris_k.

Referenced by vpMbEdgeKltTracker::loadConfigFile(), vpMbKltTracker::loadConfigFile(), vpMbKltTracker::resetTracker(), vpMbKltTracker::setKltOpencv(), and vpMbKltTracker::vpMbKltTracker().

void vpKltOpencv::setInitialGuess ( const std::vector< cv::Point2f > & guess_pts )

Set the points that will be used as initial guess during the next call to track(). A typical usage of this function is to predict the position of the features before the next call to track().

Parameters

guess_pts : Vector of points that should be tracked. The size of this vector should be the same as the one returned by getFeatures(). If this is not the case, an exception is returned. Note also that the id of the points is not modified.

See also: initTracking()

Definition at line 449 of file vpKltOpencv.cpp.

References vpException::badValue, m_initial_guess, and m_points.

void vpKltOpencv::setMaxFeatures ( const int maxCount )

Set the maximum number of features to track in the image.

Parameters

maxCount : Maximum number of features to detect and track. Default value is set to 500.

Examples:: mbtEdgeKltTracking.cpp, mbtKltTracking.cpp, trackKltOpencv.cpp, tutorial-klt-tracker-live-v4l2.cpp, tutorial-klt-tracker-with-reinit.cpp, tutorial-klt-tracker.cpp, tutorial-mb-hybrid-tracker.cpp, and tutorial-mb-klt-tracker.cpp.

Definition at line 342 of file vpKltOpencv.cpp.

References m_maxCount.

Referenced by vpMbEdgeKltTracker::loadConfigFile(), vpMbKltTracker::loadConfigFile(), vpMbKltTracker::resetTracker(), vpMbKltTracker::setKltOpencv(), and vpMbKltTracker::vpMbKltTracker().

void vpKltOpencv::setMinDistance ( double minDistance )

Set the minimal Euclidean distance between detected corners during initialization.

Parameters

minDistance : Minimal possible Euclidean distance between the detected corners. Default value is set to 15.

Examples:: mbtEdgeKltTracking.cpp, mbtKltTracking.cpp, trackKltOpencv.cpp, tutorial-klt-tracker-live-v4l2.cpp, tutorial-klt-tracker-with-reinit.cpp, tutorial-klt-tracker.cpp, tutorial-mb-hybrid-tracker.cpp, and tutorial-mb-klt-tracker.cpp.

Definition at line 397 of file vpKltOpencv.cpp.

References m_minDistance.

Referenced by vpMbEdgeKltTracker::loadConfigFile(), vpMbKltTracker::loadConfigFile(), vpMbKltTracker::resetTracker(), vpMbKltTracker::setKltOpencv(), and vpMbKltTracker::vpMbKltTracker().

void vpKltOpencv::setMinEigThreshold ( double minEigThreshold )

Set the minimal eigen value threshold used to reject a point during the tracking.

Parameters

minEigThreshold : Minimal eigen value threshold. Default value is set to 1e-4.

Definition at line 406 of file vpKltOpencv.cpp.

References m_minEigThreshold.

void vpKltOpencv::setPyramidLevels ( const int pyrMaxLevel )

Set the maximal pyramid level. If the level is zero, then no pyramid is computed for the optical flow.

Parameters

pyrMaxLevel : 0-based maximal pyramid level number; if set to 0, pyramids are not used (single level), if set to 1, two levels are used, and so on. Default value is set to 3.

Examples:: mbtEdgeKltTracking.cpp, mbtKltTracking.cpp, trackKltOpencv.cpp, tutorial-klt-tracker-live-v4l2.cpp, tutorial-klt-tracker-with-reinit.cpp, tutorial-klt-tracker.cpp, tutorial-mb-hybrid-tracker.cpp, and tutorial-mb-klt-tracker.cpp.

Definition at line 432 of file vpKltOpencv.cpp.

References m_pyrMaxLevel.

Referenced by vpMbEdgeKltTracker::loadConfigFile(), vpMbKltTracker::loadConfigFile(), vpMbKltTracker::resetTracker(), vpMbKltTracker::setKltOpencv(), and vpMbKltTracker::vpMbKltTracker().

void vpKltOpencv::setQuality ( double qualityLevel )

Set the parameter characterizing the minimal accepted quality of image corners.

Parameters

qualityLevel : Quality level parameter. Default value is set to 0.01. The parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue or the Harris function response. The corners with the quality measure less than the product are rejected. For example, if the best corner has the quality measure = 1500, and the qualityLevel=0.01, then all the corners with the quality measure less than 15 are rejected.

Examples:: mbtEdgeKltTracking.cpp, mbtKltTracking.cpp, trackKltOpencv.cpp, tutorial-klt-tracker-live-v4l2.cpp, tutorial-klt-tracker-with-reinit.cpp, tutorial-klt-tracker.cpp, tutorial-mb-hybrid-tracker.cpp, and tutorial-mb-klt-tracker.cpp.

Definition at line 366 of file vpKltOpencv.cpp.

References m_qualityLevel.

Referenced by vpMbEdgeKltTracker::loadConfigFile(), vpMbKltTracker::loadConfigFile(), vpMbKltTracker::resetTracker(), vpMbKltTracker::setKltOpencv(), and vpMbKltTracker::vpMbKltTracker().

void vpKltOpencv::setTrackerId ( int tid )

inline

Does nothing. Just here for compat with previous releases that use OpenCV C api to do the tracking.

Examples:: trackKltOpencv.cpp.

Definition at line 152 of file vpKltOpencv.h.

Referenced by vpMbKltTracker::resetTracker(), and vpMbKltTracker::vpMbKltTracker().

void vpKltOpencv::setUseHarris ( const int useHarrisDetector )

Set the parameter indicating whether to use a Harris detector or the minimal eigenvalue of gradient matrices for corner detection.

Parameters

useHarrisDetector : If 1 (default value), use the Harris detector. If 0 use the eigenvalue.

Examples:: trackKltOpencv.cpp, tutorial-klt-tracker-live-v4l2.cpp, tutorial-klt-tracker-with-reinit.cpp, and tutorial-klt-tracker.cpp.

Definition at line 386 of file vpKltOpencv.cpp.

References m_useHarrisDetector.

Referenced by vpMbKltTracker::resetTracker(), and vpMbKltTracker::vpMbKltTracker().

void vpKltOpencv::setWindowSize ( const int winSize )

Set the window size used to refine the corner locations.

Parameters

winSize : Half of the side length of the search window. Default value is set to 10. For example, if winSize=5 , then a 5*2+1 $\times$ 5*2+1 = 11 $\times$ 11 search window is used.