C++调用opencv完成运动目标捕捉

Posted 2022-04-20 一个不同的ID

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使用编译器：Qt Creator 4.2.1

//动态物体标记
    vector<vector<Point>>contours;//用于保存关键点
    findContours(diff,contours,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_SIMPLE,Point(0,0));
    //提取关键点
    vector<vector<Point>>contours_poly(contours.size());
    vector<Rect>boundRect(contours.size());
    int x,y,w,h;
    int num=contours.size();
    for(int i=0;i<num;i++)
    
        approxPolyDP(Mat(contours[i]),contours_poly[i],3,true);
        boundRect[i]=boundingRect(Mat(contours_poly[i]));
        x=boundRect[i].x;
        y=boundRect[i].y;
        w=boundRect[i].width;
        h=boundRect[i].height;
        //绘制
        rectangle(resFrame,Point(x,y),Point(x+w,y+h),Scalar(0,255,0),2);

效果如下：

三、代码

#include <iostream>
#include <opencv2/opencv.hpp>
using namespace cv;
using namespace std;

Mat moveCheck(Mat &frontFrame,Mat &afterFrame)

    Mat frontGray,afterGray,diff;
    Mat resFrame=afterFrame.clone();
    //灰度处理,节省运算时间
    cvtColor(frontFrame,frontGray,CV_BGR2GRAY);
    cvtColor(afterFrame,afterGray,CV_BGR2GRAY);
    //帧差处理  找到两帧之间运动物体差异
    //缺点:会捕捉所有运动的物体,没办法专门捕捉某个目标
    absdiff(frontGray,afterGray,diff);

    //二值化: 使其变得更加黑白分明,便于计算,会产生噪点
    threshold(diff,diff,25,255,CV_THRESH_BINARY);

    //腐蚀处理:去除大部分的白色噪点
    Mat element = cv::getStructuringElement(MORPH_RECT,Size(4,4));//小于4*4方块的白色噪点都会被腐蚀
    erode(diff,diff,element);

    //膨胀处理:将白色区域变"胖",便于识别
    Mat element2=cv::getStructuringElement(MORPH_RECT,Size(30,30));
    dilate(diff,diff,element2);
    //动态物体标记
    vector<vector<Point>>contours;//用于保存关键点
    findContours(diff,contours,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_SIMPLE,Point(0,0));
    //提取关键点
    vector<vector<Point>>contours_poly(contours.size());
    vector<Rect>boundRect(contours.size());
    int x,y,w,h;
    int num=contours.size();
    for(int i=0;i<num;i++)
    
        approxPolyDP(Mat(contours[i]),contours_poly[i],3,true);
        boundRect[i]=boundingRect(Mat(contours_poly[i]));
        x=boundRect[i].x;
        y=boundRect[i].y;
        w=boundRect[i].width;
        h=boundRect[i].height;
        //绘制
        rectangle(resFrame,Point(x,y),Point(x+w,y+h),Scalar(0,255,0),2);
    
    return resFrame;


int main(int argc, char *argv[])

    Mat frame;

    Mat temp;
    Mat res;
    int num=0;
    VideoCapture cap("D:/VideoTraining/carMove.mp4");
    while (cap.read(frame))
    
        num++;
        if(num==1)
        //如果为第一帧则把当前帧传入(即不产生效果)

            res=moveCheck(frame,frame);
        
        else
        //从第二帧开始才有差帧
            res=moveCheck(temp,frame);

        
        temp=frame.clone();//此处注意要调用.clone深拷贝,否则会出现两个画面一样的情况
        imshow("frame",frame);
        imshow("res",res);
        waitKey(25);
    
    return 0;

QT下配置opencv可以看看这一篇：

Qt下配置opencv环境_一个不同的ID的博客-CSDN博客opencv在QT下调用,环境配置https://blog.csdn.net/baidu_38326512/article/details/124235789?spm=1001.2014.3001.5502