opencv2 鼠标框选角点并利用光流法进行追踪

本文介绍了一个使用 OpenCV 的应用程序,该程序通过鼠标框选区域来检测角点,并运用光流法跟踪这些角点的变化。系统从摄像头捕获帧,转换为灰度图像后,用户可以在感兴趣区域内手动选择一个矩形,程序会找到该区域内的角点并持续追踪它们的移动。

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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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