OpenCV 顏色追蹤的示例程式碼
阿新 • • 發佈:2020-01-16
FPS 每秒幀數
背景消除建模 BSM
Background SUbtraction
BS演算法
- 影象分割(GMM-高斯混合模型)
- 機器學習(KNN-K臨近)
#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/新加捲/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; }
一般應用於背景靜止狀態
基於顏色的物件跟蹤
- 顏色範圍過濾
- 標註與測量
顏色過濾
- inRange過濾
- 形態學操作提取
- 輪廓查詢
- 外界矩形獲取
- 位置標定
#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/新加捲/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) 預設中心位置 Mat kernel2 = getStructuringElement(MORPH_RECT,Size(5,5),-1)); while (cap.read(frame)){ inRange(frame,Scalar(0,107),Scalar(90,90,255),mask); //2 形態學操作提取 morphologyEx(mask,mask,MORPH_OPEN,kernel1,-1),1); // 開操作 //3 輪廓查詢 dilate(mask,kernel2,4);// 膨脹 imshow("mask",mask); processFrame(mask,roi); rectangle(frame,roi,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(255,2,CV_AA); imshow("input",frame); char c = waitKey(100); if(c==27){ break; } } cap.release(); waitKey(0); return 0; }
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