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opencv2 鼠标框选角点并利用光流法进行追踪

2016-04-26 10:18 495 查看
opencv2 鼠标框选角点并利用光流法进行追踪

#include<opencv2\opencv.hpp>
#include <iostream>
#include <cstdio>

using namespace std;
using namespace cv;

#define WINDOW_NAME "【程序窗口】"

void on_MouseHandle(int event, int x, int y, int flags, void* param);
void DrawRectangle( cv::Mat& img, cv::Rect box );
void tracking(Mat &frame,vector<Point2f> temp);

Mat srcImage,grayImage,tempImage1,tempImage,imageROI,grayprev;
int g_maxCornerNumber = 1;
double qualityLevel = 0.01;
double minDistance = 10;
int blockSize = 3;
double k = 0.04;
vector<Point2f> corners;
vector<Point2f> pre_corners;
vector<Point2f> counts;
vector<uchar> status;
vector<float> err;
Rect g_rectangle;
Rect g_temprectangle;
bool g_bDrawingBox = false;

int main( int argc, char** argv )
{
Mat frame;
Mat result;

VideoCapture capture(0);

namedWindow( WINDOW_NAME );
setMouseCallback(WINDOW_NAME,on_MouseHandle,(void*)&frame);

while(1)
{
capture >> frame;

if(!frame.empty())
{
cvtColor(frame,grayImage,CV_RGB2GRAY);
if( g_bDrawingBox )
rectangle(frame,g_rectangle.tl(),g_rectangle.br(),Scalar(255,255,255));
if (corners.size()!=0)
{
tracking(frame,corners);
rectangle(frame,Point(corners[0].x-10,corners[0].y-10),Point(corners[0].x+10,corners[0].y+10),Scalar(255,255,255));
}
imshow( WINDOW_NAME, frame );
}
else
{
printf(" --(!) No captured frame -- Break!");
break;
}

int c = waitKey(50);
if( (char)c == 27 )
{
break;
}
}
return 0;
}
void on_MouseHandle(int event, int x, int y, int flags, void* param)
{

Mat& image = *(cv::Mat*) param;
switch( event)
{
case EVENT_MOUSEMOVE:
{
if( g_bDrawingBox )
{
g_rectangle.width = x-g_rectangle.x;
g_rectangle.height = y-g_rectangle.y;
}
}
break;

case EVENT_LBUTTONDOWN:
{
g_bDrawingBox = true;
g_rectangle =Rect( x, y, 0, 0 );
}
break;

case EVENT_LBUTTONUP:
{
g_bDrawingBox = false;
if( g_rectangle.width < 0 )
{
g_rectangle.x += g_rectangle.width;
g_rectangle.width *= -1;
}

if( g_rectangle.height < 0 )
{
g_rectangle.y += g_rectangle.height;
g_rectangle.height *= -1;
}
imageROI=grayImage(g_rectangle);
goodFeaturesToTrack( imageROI,corners,g_maxCornerNumber,qualityLevel,minDistance,Mat(),blockSize,false,k );
for (int i = 0; i < corners.size(); i++)
{
corners[i].x=corners[i].x+g_rectangle.x;
corners[i].y=corners[i].y+g_rectangle.y;
}
}
break;

}
}

void tracking(Mat &frame,vector<Point2f> temp)
{
cvtColor(frame, tempImage1, COLOR_BGR2GRAY);

if (grayprev.empty())
{
tempImage1.copyTo(grayprev);
}

calcOpticalFlowPyrLK(grayprev, tempImage1, temp, pre_corners, status, err);

for (size_t i=0; i<pre_corners.size(); i++)
{
line(frame, temp[i], pre_corners[i], Scalar(0, 0, 255));
circle(frame, pre_corners[i], 4, Scalar(0, 255, 0), -1,8,0);
}

swap(pre_corners, corners);
swap(grayprev, tempImage1);
}
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