FPS 每秒帧数背景消除建模 BSMBackground SUbtractionBS算法
图像分割(GMM-高斯混合模型) 机器学习(KNN-K临近)
#include <opencv2/core/utility.hpp>#include <opencv2/tracking.hpp>#include <opencv2/videoio.hpp>#include <opencv2/highgui.hpp>#include<opencv2/opencv.hpp>#include <iostream>#include <cstring>using namespace std;using namespace cv;int main(){VideoCapture cap;cap.open("/media/laniakea/新加卷/ubuntu/board/train1.mp4");if(!cap.isOpened()){cout<<"no video";return -1;}Mat frame;Mat idontknoew;namedWindow("input",CV_WINDOW_AUTOSIZE);namedWindow("MOG2",CV_WINDOW_AUTOSIZE);Ptr<BackgroundSubtractor> pMOG2 = createBackgroundSubtractorMOG2();while (cap.read(frame)){imshow("input",frame);pMOG2->apply(frame,idontknoew);imshow("MOG2",idontknoew);char c = waitKey(100);if(c == 27){break;}}cap.release();waitKey(0);return 0;}
一般应用于背景静止状态
基于颜色的对象跟踪
颜色范围过滤 标注与测量
颜色过滤
inRange过滤 形态学操作提取 轮廓查找 外界矩形获取 位置标定
#include<opencv2/opencv.hpp>#include <iostream>#include <string.h>using namespace std;using namespace cv;Rect roi;void processFrame(Mat &binary, Rect &rect){vector<vector<Point> > contours;vector<Vec4i> hierarchy;findContours(binary,contours,hierarchy,RETR_EXTERNAL,CHAIN_APPROX_SIMPLE,Point(0,0));if (contours.size() > 0){double maxArea = 0.0;for (size_t t = 0; t < contours.size(); t++){double area = contourArea(contours[static_cast<int>(t)]);//最大外接矩形if (area > maxArea){maxArea = area;rect = boundingRect(contours[static_cast<int>(t)]); } } }else {rect.x = rect.y = rect.width = rect.height = 0; }}int main(){ VideoCapture cap; cap.open("/media/laniakea/新加卷/ubuntu/board/train1.mp4"); if(!cap.isOpened()){ cout<<"no file to open \n"; return -1; } Mat frame,mask; namedWindow("input",CV_WINDOW_AUTOSIZE); namedWindow("mask",CV_WINDOW_AUTOSIZE); Mat kernel1 = getStructuringElement(MORPH_RECT, Size(3, 3), Point(-1, -1));//(-1,-1) 默认中心位置 Mat kernel2 = getStructuringElement(MORPH_RECT, Size(5, 5), Point(-1, -1)); while (cap.read(frame)){ inRange(frame,Scalar(0,0,107),Scalar(90,90,255),mask);//2 形态学操作提取 morphologyEx(mask, mask, MORPH_OPEN, kernel1, Point(-1, -1), 1); // 开操作//3 轮廓查找 dilate(mask, mask, kernel2, Point(-1, -1), 4);// 膨胀 imshow("mask",mask); processFrame(mask,roi); rectangle(frame,roi,Scalar(0,255,0),3,8,0); //roi就是矩形 Point p = Point(roi.tl().x,roi.tl().y); String s = to_string(roi.tl().x) + " ," + to_string(roi.tl().y); putText(frame,s,p,FONT_HERSHEY_TRIPLEX,0.8,Scalar(255,0,0),2,CV_AA); imshow("input",frame); char c = waitKey(100); if(c==27){ break; } } cap.release(); waitKey(0); return 0;}
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本文标题: OpenCV 颜色追踪的示例代码
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