#include <opencvhighgui.h> #include <stdio.h> int main( int argc, char** argv ){
IplImage* pFrame = NULL;
IplImage* pFrImg = NULL;
IplImage* pBkImg = NULL;
CvMat* pFrameMat = NULL;
CvMat* pFrMat = NULL;
CvMat* pBkMat = NULL;
CvCapture* pCapture = NULL;
int nFrmNum = 0;
cvNamedWindow("video", 1);
cvNamedWindow("background",1);
cvNamedWindow("foreground",1);
cvMoveWindow("video", 30, 0);
cvMoveWindow("background", 360, 0);
cvMoveWindow("foreground", 690, 0);
//打开视频文件 if( !(pCapture = cvCaptureFromFile("video.avi")) ){
fprintf(stderr, "Can not open video file video.avin");
return -2;
}
//逐帧读取视频 while(pFrame = cvQueryFrame( pCapture )){
nFrmNum++;
// 第一帧需要申请内存并初始化 if(nFrmNum == 1){
pBkImg = cvCreateImage(cvSize(pFrame->width, pFrame->height), IPL_DEPTH_8U,1);
pFrImg = cvCreateImage(cvSize(pFrame->width, pFrame->height), IPL_DEPTH_8U,1);
pBkMat = cvCreateMat(pFrame->height, pFrame->width, CV_32FC1);
pFrMat = cvCreateMat(pFrame->height, pFrame->width, CV_32FC1);
pFrameMat = cvCreateMat(pFrame->height, pFrame->width, CV_32FC1);
// 转换为单通道图像再处理 cvCvtColor(pFrame, pBkImg, CV_BGR2GRAY);
cvCvtColor(pFrame, pFrImg, CV_BGR2GRAY);
cvConvert(pFrImg, pFrameMat);
cvConvert(pFrImg, pFrMat);
cvConvert(pFrImg, pBkMat);
}
else{
cvCvtColor(pFrame, pFrImg, CV_BGR2GRAY);
cvConvert(pFrImg, pFrameMat);
// 高斯滤波平滑图像 cvSmooth(pFrameMat, pFrameMat, CV_GAUSSIAN, 3, 0, 0);
// 当前帧与背景图相减 cvAbsDiff(pFrameMat, pBkMat, pFrMat);
// 二值化背景图 cvThreshold(pFrMat, pFrImg, 60, 255.0, CV_THRESH_BINARY);
//进行形态学滤波，去除噪声. 效果不好,将行车都作为噪声去除了 //cvErode(pFrImg, pFrImg, 0, 1);
//cvDilate(pFrImg, pFrImg, 0, 1);
// 更新背景 cvRunningAvg(pFrameMat, pBkMat, 0.003, 0);
// 将背景转换为图像格式，用于显示 cvConvert(pBkMat, pBkImg);
cvShowImage("video", pFrame);
cvShowImage("background", pBkImg);
cvShowImage("foreground", pFrImg);
if( cvWaitKey(2) >= 0 ) break;
}
}
cvDestroyWindow("video");
cvDestroyWindow("background");
cvDestroyWindow("foreground");
cvReleaseImage(&pFrImg);
cvReleaseImage(&pBkImg);
cvReleaseMat(&pFrameMat);
cvReleaseMat(&pFrMat);
cvReleaseMat(&pBkMat);
return 0;
}