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)
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#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;
}
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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
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#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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以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持服务器之家。
原文链接：https://segmentfault.com/a/1190000021583872