OpenCV：利用背景建模检测运动物体

标签：opencv

<span style="font-size:14px;">#include <opencv\cv.h>
#include <opencv\highgui.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.avi\n");
        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;
}
</span>

运行结果截图：

OpenCV：利用背景建模检测运动物体

标签：opencv

原文地址：http://blog.csdn.net/u010002704/article/details/43734779