opencv颜色跟踪（opencv颜色识别代码）

FPS 每秒帧数
背景消除建模 BSM
Background SUbtraction
BS算法

图像分割(GMM-高斯混合模型)
机器学习(KNN-K临近)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 #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

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 #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; }