OpenCV Error: Assertion failed with live stream video [closed]

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Im trying to count traffic with a live stream video of a ip camera in my raspberry pi 3 . One minute after running my programm this error comes out.

OpenCV Error: Assertion failed (dims <= 2 && step[0] > 0) in locateROI, file /home/pi/opencv/opencv-3.3.0/modules/core/src/matrix.cpp, line 981 terminate called after throwing an instance of 'cv::Exception' what(): /home/pi/opencv/opencv-3.3.0/modules/core/src/matrix.cpp:981: error: (-215) dims <= 2 && step[0] > 0 in function locateROI Abortado

This happen everytime I run it. Also when I run a code just to display the live video some times, this comes out.

[h264 @ 0x1f34000] left block unavailable for requested intra mode at 0 40 [h264 @ 0x1f34000] error while decoding MB 0 40, bytestream 0

I'm using a code I found to count cars that works pretty good with videos, but when I set a video stream instead, it crashes. I'm using C++

Actually I'm new on OpenCV and C++, so if anybody can help me understand what am I doing wrong, and why my programm works well just with videos and not with stream videos, I'll apreciate

int main(void) {

    cv::VideoCapture capVideo;
    cv::Mat imgFrame1;
    cv::Mat imgFrame2;
    std::vector<Blob> blobs;
    cv::Point crossingLine[2];

    capVideo.open("rtsp://myipcamera:554/11");

    if (!capVideo.isOpened()) {                                                 // if unable to open video file
        std::cout << "error reading video file" << std::endl << std::endl;      // show error message
        _getch();                   // it may be necessary to change or remove this line if not using Windows
        return(0);                                                              // and exit program
    }

    if (capVideo.get(CV_CAP_PROP_FRAME_COUNT) < 2) {
        std::cout << "error: video file must have at least two frames";
        _getch();                   // it may be necessary to change or remove this line if not using Windows
        return(0);
    }

    capVideo.read(imgFrame1);
    capVideo.read(imgFrame2);


    //Puntos para trazar la linea sensor
/*
*/
    int intHorizontalLinePosition = (int)std::round((double)imgFrame1.cols * 0.55);

    crossingLine[0].x = intHorizontalLinePosition;
    crossingLine[0].y = 0;

    crossingLine[1].x = intHorizontalLinePosition;
    crossingLine[1].y = imgFrame1.rows - 1;

    char chCheckForEscKey = 0;
    bool blnFirstFrame = true;
    int frameCount = 2;

    //El loop que se realice mientras el video esté abierto o mientras no presionen esc
    while (capVideo.isOpened() && chCheckForEscKey != 27) {

        std::vector<Blob> currentFrameBlobs;

        cv::Mat imgFrame1Copy = imgFrame1.clone();
        cv::Mat imgFrame2Copy = imgFrame2.clone();

        cv::Mat imgDifference;
        cv::Mat imgThresh;

        cv::cvtColor(imgFrame1Copy, imgFrame1Copy, CV_BGR2GRAY);
        cv::cvtColor(imgFrame2Copy, imgFrame2Copy, CV_BGR2GRAY);

        cv::GaussianBlur(imgFrame1Copy, imgFrame1Copy, cv::Size(5, 5), 0);
        cv::GaussianBlur(imgFrame2Copy, imgFrame2Copy, cv::Size(5, 5), 0);

        cv::absdiff(imgFrame1Copy, imgFrame2Copy, imgDifference);

        cv::threshold(imgDifference, imgThresh, 30, 255.0, CV_THRESH_BINARY);

        //  cv::namedWindow("imgThresh", CV_WINDOW_AUTOSIZE); // Create a window for display.

        cv::imshow("imgThresh", imgThresh);

        cv::Mat structuringElement3x3 = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(3, 3));
        cv::Mat structuringElement5x5 = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(5, 5));
        cv::Mat structuringElement7x7 = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(7, 7));
        cv::Mat structuringElement15x15 = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(15, 15));

        for (unsigned int ...