Angle and Scale Invariant Template matching

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Below Function rotates the template image from 0 to 360(using for loop to rotate image matrix 20 degrees in each loop) degrees to search all matches present in all angles in source image. when I build the application , there is no errors . While debug the application I am getting below error,

Unhandled exception at 0x74ec812f in Template_Match.exe: Microsoft C++ exception: cv::Exception at memory location 0x002e02a8..

Someone please help me to rectify the issue.Help would be appreciated greatly.

/// function to rotate (0 to 360 degrees) template for template matching .
void matchTemplate()
{
    int  j, x, y, key;

    double minVal;
    char windowNameSource[] = "Original Image";
    char windowNameDestination[] = "Result Image";
    char windowNameCoefficientOfCorrelation[] = "Coefficient of Correlation Image";

    Point minLoc;
    Point tempLoc;

    Mat templateImage = imread("template.jpg");
    Mat sourceImage = imread("sourceImage.jpg");

    Mat graySourceImage = cvCreateMat(sourceImage.rows,sourceImage.cols,CV_32FC1);
    Mat grayTemplateImage = cvCreateMat(templateImage.rows,templateImage.cols,CV_32FC1);
    Mat binarySourceImage = cvCreateMat(sourceImage.rows,sourceImage.cols,CV_32FC1);
    Mat binaryTemplateImage = cvCreateMat(templateImage.rows,templateImage.cols,CV_32FC1);
    Mat destinationImage = cvCreateMat(sourceImage.rows,sourceImage.cols,CV_32FC3);

    sourceImage.copyTo(destinationImage);
    cvtColor(sourceImage,graySourceImage,CV_RGB2GRAY);
    cvtColor(templateImage,grayTemplateImage,CV_RGB2GRAY);

    threshold(graySourceImage,binarySourceImage,0.8,1.0,CV_THRESH_TOZERO);
    threshold(grayTemplateImage,binaryTemplateImage,0.8,1.0,CV_THRESH_TOZERO);

    float degree = 20.0f;
    for(j = 0; j <= 18; j++) 
    {
        Mat tempBinaryTemplateImage = cvCreateMat(templateImage.rows, templateImage.cols,     CV_32FC1);
        Mat result = cvCreateMat(sourceImage.rows - templateImage.rows + 1, sourceImage.cols -templateImage.cols + 1, CV_32FC1);
        resize(binaryTemplateImage, tempBinaryTemplateImage,Size(),0.5,0.5,CV_INTER_AREA);

        Mat rotateBinaryTemplateImage = cvCreateMat(tempBinaryTemplateImage.rows, tempBinaryTemplateImage.cols, CV_32FC1);

        for(y = 0; y < templateImage.cols; y++)
        {
            for(x = 0; x < templateImage.rows; x++)
            {
                float radian = (float)j * degree * CV_PI / 180.0f;
                int scale = y * templateImage.rows + x;
                int rotateY = - sin(radian) * ((float)x - (float)templateImage.rows / 2.0f) + cos(radian) * ((float)y - (float)templateImage.cols / 2.0f) + te
                int rotateX = cos(radian) * ((float)x - (float)templateImage.rows / 2.0f) + sin(radian) * ((float)y - (float)templateImage.cols / 2.0f) + temp

                if(rotateY < templateImage.cols && rotateX < templateImage.rows && rotateY >= 0 && rotateX  >= 0)
                    rotateBinaryTemplateImage.data[scale] = tempBinaryTemplateImage.data[rotateY * templateImage.rows + rotateX];
            }
        }

        matchTemplate(binarySourceImage, rotateBinaryTemplateImage, result, CV_TM_CCOEFF_NORMED);
        minMaxLoc(result, &minVal, NULL, &minLoc, NULL, NULL);

        if(minVal < 0.8)
        {
            tempLoc.x = minLoc.x + templateImage.rows;
            tempLoc.y = minLoc.y + templateImage.cols;
            rectangle(destinationImage, minLoc, tempLoc, CV_RGB(0, 255, 0), 1, 8, 0);
        }

    }
    imshow(windowNameDestination, destinationImage);
    key = waitKey(0);
}