OpenCV检测运动目标 OpenCV实现帧差法检测运动目标

#include <opencv2/opencv.hpp>
#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <ctype.h>

double Threshold_index=0;
const int CONTOUR_MAX_AERA = 200;

void trackbar(int pos)
{
 Threshold_index=(double)pos;
}

int main(int argc, char* argv[])
{ 
 CvCapture *capture=cvCaptureFromCAM(0);
 int n_cnt=0;
 IplImage *img=NULL,
 *img_gray1=NULL,
 *img_gray2=NULL,
 *img_gray3=NULL,
 *img_diff1=NULL,
 *img_diff2=NULL,
 *img_diff_and=NULL,
 *img_binary=NULL,
 *img_dilate=NULL;
 CvMemStorage *stor;
 CvSeq *cont;

 stor=cvCreateMemStorage(0);
 cont=cvCreateSeq(CV_SEQ_ELTYPE_POINT,sizeof(CvSeq),sizeof(CvPoint),stor);

 cvNamedWindow("test",CV_WINDOW_AUTOSIZE);
 cvNamedWindow("dilate",CV_WINDOW_AUTOSIZE);
 img=cvQueryFrame(capture);
 img_gray1=cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1);
 img_gray2=cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1);
 img_gray3=cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1);
 img_diff1=cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1);
 img_diff2=cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1);
 img_diff_and=cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1);
 img_binary=cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1);
 img_dilate=cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1);

 int index=1;
 cvCreateTrackbar("Threshold","test",&index,255,trackbar);

 while(img=cvQueryFrame(capture))
 {
 if(n_cnt%3==0)
  cvCvtColor(img,img_gray1,CV_BGR2GRAY);
 else if(n_cnt%3==1)
  cvCvtColor(img,img_gray2,CV_BGR2GRAY);
 else if(n_cnt%3==2)
  cvCvtColor(img,img_gray3,CV_BGR2GRAY);
 char c=(char)cvWaitKey(25);
 if(c==27)
  break;
 if(n_cnt>3)
 {
  cvAbsDiff(img_gray1,img_gray2,img_diff1);
  cvAbsDiff(img_gray2,img_gray3,img_diff2);
  cvAnd(img_diff1,img_diff2,img_diff_and);
  cvThreshold(img_diff_and,img_binary,Threshold_index,255,CV_THRESH_BINARY);
  cvShowImage("test",img_binary);

  cvDilate(img_binary,img_dilate);
  //cvShowImage("dilate",img_dilate);

  cvFindContours(img_dilate,stor,&cont,sizeof(CvContour),CV_RETR_LIST,CV_CHAIN_APPROX_SIMPLE,cvPoint(0,0));
  for(;cont;cont = cont->h_next)
  {
   CvRect r = ((CvContour*)cont)->rect;//子类转换为父类例子
   if(r.height * r.width > CONTOUR_MAX_AERA) // 面积小的方形抛弃掉
   {
    cvRectangle(img, cvPoint(r.x,r.y), 
     cvPoint(r.x + r.width, r.y + r.height),
     CV_RGB(255,0,0), 1, CV_AA,0);
   }
  }
  cvShowImage("dilate",img);
 }
 if(c=='s')
 {
  cvSaveImage("d:/img.bmp",img);
  cvSaveImage("d:/img_binary.bmp",img_dilate);
 }
 n_cnt++;
 }

 cvDestroyAllWindows();
 cvReleaseCapture(&capture);
 cvReleaseImage(&img_gray1);
 cvReleaseImage(&img_gray2);
 cvReleaseImage(&img_gray3);
 cvReleaseImage(&img_diff1);
 cvReleaseImage(&img_diff2);
 cvReleaseImage(&img_diff_and);
 cvReleaseImage(&img_binary);
 cvReleaseImage(&img_dilate);
 cvReleaseMemStorage(&stor);
 return 0;
}