OpenCV4入门157:基于均值迁移的对象移动分析

索引地址:系列索引

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#include "opencv2/opencv.hpp"
#include <Windows.h>

using namespace std;
using namespace cv;

TermCriteria criteria(TermCriteria::MAX_ITER
+ TermCriteria::EPS,
20,
1.0);

bool selecting = false;
Rect selection;
Point spo; // selection point origin

void onMouse(int event, int x, int y, int, void*)
{
switch(event)
{
case EVENT_LBUTTONDOWN:
{
spo.x = x;
spo.y = y;
selection.x = spo.x;
selection.y = spo.y;
selection.width = 0;
selection.height = 0;
selecting = true;

} break;
case EVENT_LBUTTONUP:
{
selecting = false;
} break;
default:
{
selection.x = min(x, spo.x);
selection.y = min(y, spo.y);
selection.width = abs(x - spo.x);
selection.height = abs(y - spo.y);
} break;
}
}

int main()
{
VideoCapture cam(0);
if(!cam.isOpened())
return -1;

Rect srchWnd;

string outputWindow = "Display";
namedWindow(outputWindow);
cv::setMouseCallback(outputWindow, onMouse);

vector<Point> route;
Mat histogram, backProject, mask;

int key = -1;
while(key != ' ')
{
Mat frame;
cam >> frame;
if(frame.empty())
break;

Mat frmHsv, hue;
vector<Mat> hsvChannels;
cvtColor(frame, frmHsv, COLOR_BGR2HSV);
split(frmHsv, hsvChannels);
hue = hsvChannels[0];

int bins = 120;
int nimages = 1;
int channels[] = {0};
float rangeHue[] = {0, 180};
const float* ranges[] = {rangeHue};
int histSize[] = { bins };
bool uniform = true;

if(selecting && selection.area() > 0)
{
Mat sel(frame, selection);

int lbHue = 00 , hbHue = 180;
int lbSat = 30 , hbSat = 256;
int lbVal = 30 , hbVal = 230;

inRange(frmHsv,
Scalar(lbHue,lbSat,lbVal),
Scalar(hbHue, hbSat, hbVal),
mask);

Mat roi(hue, selection);
Mat maskroi(mask, selection);

calcHist(&roi,
nimages,
channels,
maskroi,
histogram,
1,
histSize,
ranges,
uniform);

normalize(histogram,
histogram, 0, 255, NORM_MINMAX);

bitwise_not(sel, sel);

srchWnd = selection;
}
else if(!histogram.empty())
{

double scale = 1.0;
calcBackProject(&hue,
nimages,
channels,
histogram,
backProject,
ranges,
scale,
uniform);

erode(backProject,
backProject,
Mat());


// meanShift(backProject,
// srchWnd,
// criteria);

CamShift(backProject,
srchWnd,
criteria);

Point p(srchWnd.x + srchWnd.width/2,
srchWnd.y + srchWnd.height/2);

route.push_back(p);
if(route.size() > 60)
route.erase(route.begin());

rectangle(frame,
srchWnd,
Scalar(0,0,255),
2);

polylines(frame,
route,false,
Scalar(0,255,0),
2);

cvtColor(backProject, backProject, COLOR_GRAY2BGR);
rectangle(backProject,
srchWnd,
Scalar(0,0,255),
2);

polylines(backProject,
route,false,
Scalar(0,255,0),
2);

}

switch(key)
{
case 'b':
if(!backProject.empty()) imshow(outputWindow, backProject);
else imshow(outputWindow, frame);
break;
case 'v': default: imshow(outputWindow, frame);
break;

}

int k = waitKey(10);
if(k > 0)
key = k;
}

cam.release();

return 0;

}