OpenCV 顏色追蹤

FPS 每秒幀數
背景消除建模 BSM
Background SUbtraction
BS算法ios

  • 圖像分割(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;
}

通常應用於背景靜止狀態算法

基於顏色的對象跟蹤

  • 顏色範圍過濾
  • 標註與測量

顏色過濾

  • inRange過濾
  • 形態學操做提取
  • 輪廓查找
  • 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) 默認中心位置
    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 形態學操做提取
    morphologyEx(mask, mask, MORPH_OPEN, kernel1, Point(-1, -1), 1); // 開操做
//3 輪廓查找
    dilate(mask, mask, kernel2, Point(-1, -1), 4);// 膨脹
    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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