3
나는 배경 공제/전경 추출을위한 FGD 알고리즘을 구현하기 위해 노력하고 opencv2.3.1 및 Visual Studio 2010
을 사용하고
#include "opencv/cvaux.h"
#include "opencv2/opencv.hpp"
#include "opencv2/opencv_modules.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/video/background_segm.hpp"
#include "opencv2/video/tracking.hpp"
#include "opencv2/video/video.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "ctype.h"
#include "stdio.h"
int main(int argc, char* argv[])
{
/* Start capturing */
CvCapture* capture = 0;
/*//Capture from CAM
if(argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0])))
capture = cvCaptureFromCAM(argc == 2 ? argv[1][0] - '0' : 0);
else if(argc == 2)*/
capture = cvCaptureFromAVI("pool.avi" );
if(!capture)
{
fprintf(stderr,"Could not initialize...\n");
return -1;
}
/* Capture 1 video frame for initialization */
IplImage* videoFrame = NULL;
videoFrame = cvQueryFrame(capture);
if(!videoFrame)
{
printf("Bad frame \n");
exit(0);
}
// Create windows
cvNamedWindow("BG", 1);
cvNamedWindow("FG", 1);
//cvNamedWindow("Blobs", 1);
//cvNamedWindow("Contours",1);
// Select parameters for Gaussian model.
CvFGDStatModelParams* params = new CvFGDStatModelParams;
params->Lcc=64; /* Quantized levels per 'color co-occurrence' component. Power of two, typically 16, 32 or 64. */
params->N1cc=25; /* Number of color co-occurrence vectors used to model normal background color variation at a given pixel. */
params->N2cc=40; /* Number of color co-occurrence vectors retained at given pixel. Must be > N1cc, typically ~ 5/3 of N1cc. */
/* Used to allow the first N1cc vectors to adapt over time to changing background. */
params->is_obj_without_holes=TRUE; /* If TRUE we ignore holes within foreground blobs. Defaults to TRUE. */
params->perform_morphing=1;/* Number of erode-dilate-erode foreground-blob cleanup iterations. */
/* These erase one-pixel junk blobs and merge almost-touching blobs. Default value is 1. */
params->alpha1=0.1; /* How quickly we forget old background pixel values seen. Typically set to 0.1 */
params->alpha2=0.005; /* "Controls speed of feature learning". Depends on T. Typical value circa 0.005. */
params->alpha3=0.1; /* Alternate to alpha2, used (e.g.) for quicker initial convergence. Typical value 0.1. */
params->delta=2; /* Affects color and color co-occurrence quantization, typically set to 2. */
params->T=0.9; /* "A percentage value which determines when new features can be recognized as new background." (Typically 0.9).*/
params->minArea=15; /* Discard foreground blobs whose bounding box is smaller than this threshold. */
CvBGStatModel* bgModel = cvCreateFGDStatModel(videoFrame ,params);
//Write FG in a file
CvVideoWriter *writer = 0;
int isColor = 1;
int fps = 25;
int frameW = 640;
int frameH = 480;
writer=cvCreateVideoWriter("out.avi",CV_FOURCC('D', 'I', 'V', 'X'),
fps,cvSize(frameW,frameH),isColor);
int key=-1;
while(key != 'q')
{
// Grab a fram
videoFrame = cvQueryFrame(capture);
if(!videoFrame)
{
break;}
// Update model
cvUpdateBGStatModel(videoFrame,bgModel);
// Display results
cvShowImage("BG", bgModel->background);
cvShowImage("FG", bgModel->foreground);
// Write foreground in AVI formet
cvWriteFrame(writer,bgModel->foreground);
key = cvWaitKey(10);
}
cvDestroyWindow("BG");
cvDestroyWindow("FG");
//cvDestroyWindow("Blobs");
//cvDestroyWindow("Contours");
cvWaitKey(0);
cvReleaseBGStatModel(&bgModel);
cvReleaseCapture(&capture);
cvReleaseVideoWriter(&writer);
return 0;
}
.
이미 MOG 알고리즘을 성공적으로 구현했습니다. 그런 다음 함수와 매개 변수를 MOG에서 FGD로 변경합니다.
프로젝트가 Visual Studio에서 성공적으로 컴파일되었지만 기능 상 : cvShowImage ("BG", bgModel-> background); hello_opencv_231.exe에 0x000007feef085d09에서
처리되지 않은 예외 : 는 다음과 같은 오류를 제공가 0xc0000005 : 액세스 위반 쓰기 위치 0xfffffffcc40b40e0을.
나는 이것이 무엇인지 모른다 ... 어떤 아이디어?
도움 주셔서 감사합니다.