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fixed multiple warnings on Windows. fixed bug #1368

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This commit is contained in:
Vadim Pisarevsky
2011-10-03 11:00:28 +00:00
parent 78e678b1f8
commit 60ebe2003f
18 changed files with 115 additions and 93 deletions
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33
modules/contrib/src/hybridtracker.cpp
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@@ -45,6 +45,23 @@
using namespace cv;
using namespace std;
CvHybridTrackerParams::CvHybridTrackerParams(float _ft_tracker_weight, float _ms_tracker_weight,
CvFeatureTrackerParams _ft_params,
CvMeanShiftTrackerParams _ms_params,
CvMotionModel)
{
ft_tracker_weight = _ft_tracker_weight;
ms_tracker_weight = _ms_tracker_weight;
ft_params = _ft_params;
ms_params = _ms_params;
}
CvMeanShiftTrackerParams::CvMeanShiftTrackerParams(int _tracking_type, CvTermCriteria _term_crit)
{
tracking_type = _tracking_type;
term_crit = _term_crit;
}
CvHybridTracker::CvHybridTracker() {
}
@@ -98,7 +115,7 @@ Mat CvHybridTracker::getGaussianProjection(Mat image, int ksize, double sigma,
Mat hist(image.size(), CV_64F);
for (int i = 0; i < hist.rows; i++)
for (int j = 0; j < hist.cols; j++) {
int pos = getL2Norm(Point(i, j), center);
int pos = cvRound(getL2Norm(Point(i, j), center));
if (pos < ksize / 2.0)
hist.at<double> (i, j) = 1.0 - (kernel.at<double> (pos) / max);
}
@@ -108,8 +125,8 @@ Mat CvHybridTracker::getGaussianProjection(Mat image, int ksize, double sigma,
void CvHybridTracker::newTracker(Mat image, Rect selection) {
prev_proj = Mat::zeros(image.size(), CV_64FC1);
prev_center = Point2f(selection.x + selection.width / 2.0, selection.y
+ selection.height / 2.0);
prev_center = Point2f(selection.x + selection.width / 2.0f, selection.y
+ selection.height / 2.0f);
prev_window = selection;
mstracker->newTrackingWindow(image, selection);
@@ -160,10 +177,10 @@ void CvHybridTracker::updateTracker(Mat image) {
double total_len = ms_len + ft_len;
params.ms_tracker_weight *= (ittr - 1);
params.ms_tracker_weight += (ms_len / total_len);
params.ms_tracker_weight += (float)((ms_len / total_len));
params.ms_tracker_weight /= ittr;
params.ft_tracker_weight *= (ittr - 1);
params.ft_tracker_weight += (ft_len / total_len);
params.ft_tracker_weight += (float)((ft_len / total_len));
params.ft_tracker_weight /= ittr;
circle(image, prev_center, 3, Scalar(0, 0, 0), -1, 8);
@@ -183,7 +200,7 @@ void CvHybridTracker::updateTrackerWithEM(Mat image) {
Mat ms_proj = ms_backproj.mul(ms_distproj);
float dist_err = getL2Norm(mstracker->getTrackingCenter(), fttracker->getTrackingCenter());
Mat ft_gaussproj = getGaussianProjection(image, dist_err, -1, fttracker->getTrackingCenter());
Mat ft_gaussproj = getGaussianProjection(image, cvRound(dist_err), -1, fttracker->getTrackingCenter());
Mat ft_distproj = getDistanceProjection(image, fttracker->getTrackingCenter());
Mat ft_proj = ft_gaussproj.mul(ft_distproj);
@@ -215,8 +232,8 @@ void CvHybridTracker::updateTrackerWithLowPassFilter(Mat image) {
Point2f ft_center = fttracker->getTrackingCenter();
float a = params.low_pass_gain;
curr_center.x = (1.0 - a) * prev_center.x + a * (params.ms_tracker_weight * ms_track.center.x + params.ft_tracker_weight * ft_center.x);
curr_center.y = (1.0 - a) * prev_center.y + a * (params.ms_tracker_weight * ms_track.center.y + params.ft_tracker_weight * ft_center.y);
curr_center.x = (1 - a) * prev_center.x + a * (params.ms_tracker_weight * ms_track.center.x + params.ft_tracker_weight * ft_center.x);
curr_center.y = (1 - a) * prev_center.y + a * (params.ms_tracker_weight * ms_track.center.y + params.ft_tracker_weight * ft_center.y);
}
Rect CvHybridTracker::getTrackingWindow() {