基于OPENCV的背景减除方法.docVIP

基于OPENCV的背景减除方法openCV 2009-04-27 14:59:32 阅读59 评论0 字号：大中小 /经实验发现，用背景减除方法也可以针对某些摄像机运动的情况，而非像大部分文章中所提到的该方法仅仅适合于摄像机静止的情况，而且效果还要较好！/*建立多高斯背景模型*/void CMotionAnalysisPlatformView:OnBackgdiff() / TODO: Add your command handler code here IplImage* tmp_frame = 0; IplImage* dst = 0; if(!m_capture) MessageBox(读取视频文件失败，请重新打开真彩色(24位)视频!, 错误信息); return; tmp_frame = cvQueryFrame(m_capture);dst = cvCreateImage(cvGetSize(tmp_frame), 8, 1);dst-origin = 1; if(!tmp_frame) MessageBox(读取视频文件失败，请重新打开真彩色(24位)视频!, 错误信息); return; cvNamedWindow(背景图像, 1); cvNamedWindow(前景图像, 1); /创建多高斯模型 CvBGStatModel* bg_model = cvCreateGaussianBGModel(tmp_frame); for( int fr = 1;tmp_frame; tmp_frame = cvQueryFrame(m_capture), fr+ ) /printf(frame# %d : , fr); /获得背景模型更新过程所花费的时间，以 CPU时钟/每微秒 为单位计数 /double t = (double)cvGetTickCount(); /模型更新之前 cvUpdateBGStatModel( tmp_frame, bg_model ); /真正的函数实现体是在: icvUpdateFGDStatModel(tmp_frame, bg_model) / t = (double)cvGetTickCount() - t; /模型更新之后/ 以左下角为坐标原点bg_model-foreground-origin = bg_model-background-origin = 1;/cvErode(bg_model-background, bg_model-background); /滤除噪声/cvErode(bg_model-foreground, bg_model-foreground); /滤除噪声/printf( %.1f毫秒n, t/(cvGetTickFrequency()*1000.) ); /最后输出结果以毫秒为单位 cvShowImage(背景图像, bg_model-background); cvCopy(bg_model-foreground, dst); cvSmooth(dst, dst, CV_GAUSSIAN, 5); cvMorphologyEx( dst, dst, 0, 0, CV_MOP_CLOSE, 3); cvMorphologyEx( dst, dst, 0, 0, CV_MOP_OPEN, 1 );/提取轮廓 到contour序列中/cvFindContours 仅能处理 单通道、颜色深度为8位的图像 的轮廓提取 cvFindContours( dst, m_storage, &m_contour, sizeof(CvContour), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0); for( ; m_contour != 0; m_contour = m_contour-h_next ) CvScalar color = CV_RGB( 255, 0, 255 ); CvScalar color_rect = CV_RGB( 0, 255, 255); m_contour_rect = cvBoundingRect(m_contour, 1); /*if(m_contour_rect.height + m_contour_rect.width 100 & m_contour_rect.width * m_contour_rect.height 20 & m_contour_rect.height/m_contour_rect.width 1.5)*/if(fabs(cvContourArea(m_contour) 500.0) cvRectangle(dst, cvPoint(m_contour_rect.x, m_contour_rect.y), cvPoint(m_contour_rect.x + m_contour_rect.width),(m_contour_rect.y + m_contour_rect.height), color_rect, 2, 8, 0); /* replace CV_FILLED with 1 to see the outlines */ cvDrawContours( dst, m_contour, color, color, -1, CV_FILLED, 8, cvPoint(0,0); cvShowImage(前景图像, dst);/ cvWaitKey(0); int k = cvWaitKey(1); /等待一毫秒 if( k = q ) break; cvReleaseBGStatModel( &bg_model ); cvReleaseCapture(&m_ca