Segmentation fault

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I wish to learn Open-CV for a project When I compile my program i have no error, but when I execute it, I have :

Segmentation fault (core dumped) here is my code

#include "opencv2/objdetect.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include <opencv2/core/core.hpp>

#include <iostream>
#include <stdio.h>
using namespace std;
using namespace cv;
void detectAndDisplay( Mat frame );
String face_cascade_name, eyes_cascade_name;
CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade;
String window_name = "Capture - Face detection";
int main( int argc, const char** argv )
{
  Mat image;
    CommandLineParser parser(argc, argv,
        "{help h|}"
        "{face_cascade|haarcascade_frontalface_alt.xml|}");
    cout << "\nThis program demonstrates using the cv::CascadeClassifier class to detect objects (Face + eyes) in a video stream.\n"
            "You can use Haar or LBP features.\n\n";
    parser.printMessage();
    face_cascade_name = parser.get<string>("face_cascade");
    VideoCapture capture;
    Mat frame;
    if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading face cascade\n"); return -1; };
  image = imread("a3.bmp", CV_LOAD_IMAGE_COLOR);

    //check image valid
    if(image.empty()){
        cout << "can't open or read image" << endl;
    }else{

        //create windows for display
        namedWindow("OpenCV", WINDOW_AUTOSIZE);
        //show imag in it
     detectAndDisplay( image );
        imshow("OpenCV", image);
        //wating user press any key to finish
        waitKey();
    }

    return 0;
}
void detectAndDisplay( Mat frame )
{
    std::vector<Rect> faces;
    Mat frame_gray;
    cvtColor( frame, frame_gray, COLOR_BGR2GRAY );
    equalizeHist( frame_gray, frame_gray );
    //-- Detect faces
    face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CASCADE_SCALE_IMAGE, Size(30, 30) );
    for ( size_t i = 0; i < faces.size(); i++ )
    {
        Point center( faces[i].x + faces[i].width/2, faces[i].y + faces[i].height/2 );
        ellipse( frame, center, Size( faces[i].width/2, faces[i].height/2 ), 0, 0, 360, Scalar( 255, 0, 255 ), 4, 8, 0 );
        Mat faceROI = frame_gray( faces[i] );
     }
    //-- Show what you got
    imshow( window_name, frame );
}