Frame Difference background substraction

Frame Difference background substraction adalah metode untuk mengetahui perbedaan antara dua frame dimana background didapat dari frame sebelumnya pada video streaming dan masukan frame didapat dari gambar sekarang dari video streaming. Contoh ilustrasi dari frame difference background substraction seperti berikut ini.

 

Berikut ini adalah program dari frame difference background substraction dan video hasil static background substraction.

PROGRAM

#include <stdlib.h> #include <string> #include <cstring> #include <iostream> #include <string.h> #include <stdio.h> #include <math.h> #include "cv.h" #include "highgui.h" using namespace std; int thresh = 100; int max_thresh = 255; IplImage *image=0, *frameTime1=0, *frameTime2=0, *frameForeground=0, *img1=0, *img2=0; int main(int argc, char* argv[]) {     CvCapture* capture = cvCaptureFromCAM(1);     if ( !capture )     {         fprintf( stderr, "ERROR: capture is NULL \n" );         getchar();         return -1;     }     // Create a window in which the captured images will be presented     cvNamedWindow( "input image", CV_WINDOW_AUTOSIZE );     cvNamedWindow( "difference", CV_WINDOW_AUTOSIZE );     while (1) {             //printf("proses while\n");            IplImage* img = 0;   //every time create/initialize an image (which name is frame) to process             img = cvQueryFrame( capture );   //grabs and returns a frame from a camera input             if( !img )    //if there is no frame exit the while(1)                 break;             if( !image )    //if there is no image, do the followings             {              //allocate all the buffers                 image = cvCreateImage( cvGetSize(img), 8, 3 );                 frameTime1 = cvCreateImage( cvGetSize(img), 8, 1 );                 frameTime2 = cvCreateImage( cvGetSize(img), 8, 1 );                 frameForeground = cvCreateImage( cvGetSize(img), 8, 1 );                 img1 = cvCreateImage( cvGetSize(img), 8, 1 );                 img2 = cvCreateImage( cvGetSize(img), 8, 1 );             }             cvCopy( img, image, 0 );             cvCvtColor( image, img1, CV_BGR2GRAY );             cvCopy( img1, frameTime1, 0 );    //currently frame in grayscale             cvAbsDiff(frameTime1, frameTime2,frameForeground);             cvThreshold(frameForeground,frameForeground,15,255,CV_THRESH_BINARY);             cvErode(frameForeground,frameForeground,0,1);             cvDilate(frameForeground,frameForeground,0,1);             cvDilate(frameForeground,frameForeground,0,1);             cvErode(frameForeground,frameForeground,0,1);             cvCopy( frameTime1, frameTime2, 0 );            cvShowImage( "input image", img);             cvShowImage( "difference", canny1);             if ( (cvWaitKey(10) & 255) == 27 ) break;     }     //deallocate windows     cvDestroyWindow( "input image" );     cvDestroyWindow( "difference" );     //deallocate images     cvReleaseCapture (&capture );     return 0; }

 

 VIDEO

  


Sumber:
http://theembeddedsystems.blogspot.com/2011/05/background-subtraction-using-opencv.html
http://www.academia.edu/4085596/MOTION_DETECTION_USING_OPENCV_WITH_BACKGROUND_SUBTRACTION_AND_FRAME_DIFFERENCING_TECHNIQUE
http://mac-opencv-projects.blogspot.com/2014/02/static-background-subtraction-using.html
https://en.wikipedia.org/wiki/Background_subtraction#Using_frame_differencing
https://www.behance.net/gallery/3943089/BGS-Library-A-Background-Subtraction-Library