Application hangs at detectMultiscale - c++

Question

I am developing a face detection algorithm in c++ visual studio with haar cascade method.
At the below line application quits while the same application works perfectly in linux environment.
Is there any opencv configuration which might cause this?
Any help would be really great.
frontfaceCascade.detectMultiScale(grey_image, faces, 1.1, 0, 0 |
CV_HAAR_SCALE_IMAGE, cv::Size(30, 30));
Thanks.
#include "stdafx.h"
#include <opencv2/opencv.hpp>
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include <iostream>
#include <thread>
#include <stdlib.h>
#include <corecrt_math_defines.h>
using namespace std;
using namespace cv;
vector<Mat> Frames;
void getFrames(char* fileName);
cv::CascadeClassifier frontfaceCascade;
cv::CascadeClassifier sidefaceCascade;
int main(int argc, char *argv[]) {
if (argc < 2) {
cout << " enter file name: \n";
exit(1);
}
char* fileName = argv[1];
// if( !frontfaceCascade.load("lbpcascade_frontalface.xml")){
if (!frontfaceCascade.load("haarcascade_frontalface_default.xml")) {
std::cout << "Error Loading frontface haarcascade" << std::endl;
}
if (!sidefaceCascade.load("haarcascade_profileface.xml"))
{
std::cout << "Error Loading sideface haarcascade" << std::endl;
}
namedWindow("Faces", WINDOW_NORMAL);
resizeWindow("Faces", 100, 400);
moveWindow("Faces", 30, 100);
getFrames(fileName);
return 0;
}
void getFrames(char* fileName) {
cv::VideoCapture vcap(fileName);
if (!vcap.isOpened()) {
cout << "Error opening video stream or file" << endl;
return;
}
cv::Mat grey_image;
Mat img;
namedWindow("Frames", CV_WINDOW_AUTOSIZE);
resizeWindow("Frames", 640, 360);
moveWindow("Frames", 130, 100);
int init = 0;
while (1)
{
vcap >> img;
// If the frame is empty, break immediately
if (img.empty())
break;
unsigned int prevSize = 0;
resize(img, img, cv::Size(640, 360));
cv::cvtColor(img, grey_image, CV_RGB2GRAY);
//cv::equalizeHist(grey_image, grey_image);
std::vector<cv::Rect> faces;
frontfaceCascade.detectMultiScale(grey_image, faces, 1.1, 0, 0 | CV_HAAR_SCALE_IMAGE, cv::Size(30, 30)); // Minimum size of obj
//sidefaceCascade.detectMultiScale(grey_image, faces, 1.1, 4, 0 | 1, Size(40, 40), Size(100, 100)); // Minimum size of obj
/****/
}
destroyAllWindows();
vcap.release();
}