使用opencv mogdetector和c++从实时摄像机馈电中提取背景



我正试图使用此代码的背景减法为一个实时摄像头馈送。但这段代码在两个窗口都显示了白色图像。问题是,当测试一个视频文件从同一摄像机,它工作正常,没有任何错误,但当视频文件被摄像机馈电取代,它变成白色,并在运行窗口终端显示错误:

HIGHGUI错误:V4L2:无法获取属性(1)-无效参数

当从摄像机馈送中获取视频时,上述错误不断重复。请帮忙解决这个问题。

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/video/background_segm.hpp>
#include <cv.h>
#include <iostream>
#include <sstream>
using namespace cv;
using namespace std;
Mat frame; //current frame
Mat fgMaskMOG; //fg mask generated by MOG method
Mat fgMaskMOG2; //fg mask fg mask generated by MOG2 method
Ptr<BackgroundSubtractor> pMOG; //MOG Background subtractor
Ptr<BackgroundSubtractor> pMOG2; //MOG2 Background subtractor
int keyboard;
int main()
{
//create GUI windows
namedWindow("Frame",0);
//namedWindow("FG Mask MOG",0);
namedWindow("FG Mask MOG 2",0);
namedWindow("eroded",0);
namedWindow("eroded2",0);
//create Background Subtractor objects
pMOG= new BackgroundSubtractorMOG(); //MOG approach
pMOG2 = new BackgroundSubtractorMOG2(); //MOG2 approach
//create the capture object
VideoCapture capture(0);
//read input data. ESC or 'q' for quitting
while( (char)keyboard != 'q' && (char)keyboard != 27 )
{
    //read the current frame
    if(!capture.read(frame))
    {
        cerr << "Unable to read next frame." << endl;
        cerr << "Exiting..." << endl;
        exit(EXIT_FAILURE);
    }
   //update the background model
   //AND HERE!!!
   //pMOG->operator()(frame, fgMaskMOG);
   pMOG2->operator()(frame, fgMaskMOG2);
   //get the frame number and write it on the current frame
   stringstream ss;
   rectangle(frame, cv::Point(10, 2), cv::Point(100,20),
   cv::Scalar(255,255,255), -1);
   ss << capture.get(CV_CAP_PROP_POS_FRAMES);
   string frameNumberString = ss.str();
   putText(frame, frameNumberString.c_str(), cv::Point(15, 15),
   FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
   //show the current frame and the fg masks
   imshow("Frame", frame);

   imshow("FG Mask MOG", fgMaskMOG);
   imshow("FG Mask MOG 2", fgMaskMOG2);
   //get the input from the keyboard
   keyboard = waitKey( 30 );

}
 //delete capture object
capture.release();
//destroy GUI windows
distroyAllWindows();
return EXIT_SUCCESS;
}

I think property

CV_CAP_PROP_POS_FRAMES

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