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opencv+arduino实现物体点追踪效果
类别:C/C++编程   作者:码皇   来源:互联网   点击:

这篇文章主要为大家详细介绍了opencv+arduino实现物体点追踪效果,具有一定的参考价值,感兴趣的小伙伴们可以参考一下

本文所要实现的结果是:通过在摄像头中选择一个追踪点,通过pc控制摄像头的舵机,使这一点始终在图像的中心。

要点:使用光流法在舵机旋转的同时进行追踪,若该点运动,则摄像头跟踪联动。

    #include<opencv2opencv.hpp> #include<opencvcv.h> #include<opencvhighgui.h> #include<math.h> #include<Windows.h> #include<string.h> 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);
    HANDLE hComm;
    LPCWSTR pStr=L"COM4";
    char lpOutbuffer[100];
    DWORD dwbyte=100;
    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;
    COMSTAT Comstat;
    DWORD dwError;
    BOOL bWritestat;
    hComm=CreateFile(pStr,GENERIC_READ | GENERIC_WRITE,0,0,OPEN_EXISTING, 0,NULL);
    if (hComm == INVALID_HANDLE_VALUE) {
    cout<<"FLASE";
    return -1;
    }
    else {
    cout<<"TURE";
    }
    DCB dcb;
    GetCommState(hComm,&dcb);
    dcb.BaudRate=9600;
    dcb.ByteSize=8;
    dcb.Parity=NOPARITY;
    dcb.StopBits=TWOSTOPBITS;
    bool set=SetCommState(hComm,&dcb);
    bool sup=SetupComm(hComm,1024,1024);
    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) {
    bool can=PurgeComm(hComm,PURGE_TXCLEAR);
    if (corners[0].x>(frame.cols/2+100)) {
    lpOutbuffer[0]='a';
    bool ne=WriteFile(hComm,lpOutbuffer,dwbyte,&dwbyte,NULL);
    }
    else if (corners[0].x<(frame.cols/2-100)) {
    lpOutbuffer[0]='b';
    bool ne=WriteFile(hComm,lpOutbuffer,dwbyte,&dwbyte,NULL);
    }
    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);
    }

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。

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相关热词搜索: opencv arduino 追踪