高斯建模
Emgu 版本:

private void button1_Click(object sender, EventArgs e)
{
Emgu.CV.Capture cap = new Capture("d:\\1.wmv");
Emgu.CV.VideoSurveillance.BGStatModel<Bgr> bg = null; ;
Capture c = new Capture("d:\\1.wmv");
Image<Bgr, byte> img = null;
while ((img = c.QueryFrame()) != null)
{
this.count++;
if (this.count == 1)
{
bg = new Emgu.CV.VideoSurveillance.BGStatModel<Bgr>(img,
Emgu.CV.CvEnum.BG_STAT_TYPE.GAUSSIAN_BG_MODEL);
}
else
{
//更新高斯模型
bg.Update(img);
this.pictureBox1.Image = img.Bitmap;
this.pictureBox2.Image = bg.BackgroundMask.Bitmap;
this.pictureBox3.Image = bg.ForgroundMask.Bitmap;
Application.DoEvents();
System.Threading.Thread.Sleep(30);
}
}
}
{
Emgu.CV.Capture cap = new Capture("d:\\1.wmv");
Emgu.CV.VideoSurveillance.BGStatModel<Bgr> bg = null; ;
Capture c = new Capture("d:\\1.wmv");
Image<Bgr, byte> img = null;
while ((img = c.QueryFrame()) != null)
{
this.count++;
if (this.count == 1)
{
bg = new Emgu.CV.VideoSurveillance.BGStatModel<Bgr>(img,
Emgu.CV.CvEnum.BG_STAT_TYPE.GAUSSIAN_BG_MODEL);
}
else
{
//更新高斯模型
bg.Update(img);
this.pictureBox1.Image = img.Bitmap;
this.pictureBox2.Image = bg.BackgroundMask.Bitmap;
this.pictureBox3.Image = bg.ForgroundMask.Bitmap;
Application.DoEvents();
System.Threading.Thread.Sleep(30);
}
}
}
C++版本:

int gaoshi(int argc, char* argv)
{
IplImage* pFrame = NULL;
IplImage* pFrImg = NULL;
IplImage* pBkImg = 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);
if( argc > 2 )
{
fprintf(stderr, "Usage: bkgrd [video_file_name]\n");
return -1;
}
//打开视频文件
if(argc == 2)
if( !(pCapture = cvCaptureFromFile(argv)))
{
fprintf(stderr, "Can not open video file %s\n", argv[1]);
return -2;
}
//打开摄像头
if (argc == 1)
if( !(pCapture = cvCaptureFromCAM(-1)))
{
fprintf(stderr, "Can not open camera.\n");
return -2;
}
//初始化高斯混合模型参数
CvGaussBGModel* bg_model=NULL;
while(pFrame = cvQueryFrame( pCapture ))
{
nFrmNum++;
if(nFrmNum<3)
continue;
if(nFrmNum == 3)
{
pBkImg = cvCreateImage(cvSize(pFrame->width, pFrame->height), IPL_DEPTH_8U,3);
pFrImg = cvCreateImage(cvSize(pFrame->width, pFrame->height), IPL_DEPTH_8U,1);
//高斯背景建模,pFrame可以是多通道图像也可以是单通道图像
//cvCreateGaussianBGModel函数返回值为CvBGStatModel*,
//需要强制转换成CvGaussBGModel*
bg_model = (CvGaussBGModel*)cvCreateGaussianBGModel(pFrame, 0);
}
else
{
//更新高斯模型
cvUpdateBGStatModel(pFrame, (CvBGStatModel *)bg_model );
//pFrImg为前景图像,只能为单通道
//pBkImg为背景图像,可以为单通道或与pFrame通道数相同
cvCopy(bg_model->foreground,pFrImg,0);
cvCopy(bg_model->background,pBkImg,0);
//把图像正过来
pBkImg->origin=1;
pFrImg->origin=1;
cvShowImage("video", pFrame);
cvShowImage("background", pBkImg);
cvShowImage("foreground", pFrImg);
if( cvWaitKey(2) >= 0 )
break;
}
}
//释放高斯模型参数占用内存
cvReleaseBGStatModel((CvBGStatModel**)&bg_model);
cvDestroyWindow("video");
cvDestroyWindow("background");
cvDestroyWindow("foreground");
cvReleaseImage(&pFrImg);
cvReleaseImage(&pBkImg);
cvReleaseCapture(&pCapture);
}
{
IplImage* pFrame = NULL;
IplImage* pFrImg = NULL;
IplImage* pBkImg = 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);
if( argc > 2 )
{
fprintf(stderr, "Usage: bkgrd [video_file_name]\n");
return -1;
}
//打开视频文件
if(argc == 2)
if( !(pCapture = cvCaptureFromFile(argv)))
{
fprintf(stderr, "Can not open video file %s\n", argv[1]);
return -2;
}
//打开摄像头
if (argc == 1)
if( !(pCapture = cvCaptureFromCAM(-1)))
{
fprintf(stderr, "Can not open camera.\n");
return -2;
}
//初始化高斯混合模型参数
CvGaussBGModel* bg_model=NULL;
while(pFrame = cvQueryFrame( pCapture ))
{
nFrmNum++;
if(nFrmNum<3)
continue;
if(nFrmNum == 3)
{
pBkImg = cvCreateImage(cvSize(pFrame->width, pFrame->height), IPL_DEPTH_8U,3);
pFrImg = cvCreateImage(cvSize(pFrame->width, pFrame->height), IPL_DEPTH_8U,1);
//高斯背景建模,pFrame可以是多通道图像也可以是单通道图像
//cvCreateGaussianBGModel函数返回值为CvBGStatModel*,
//需要强制转换成CvGaussBGModel*
bg_model = (CvGaussBGModel*)cvCreateGaussianBGModel(pFrame, 0);
}
else
{
//更新高斯模型
cvUpdateBGStatModel(pFrame, (CvBGStatModel *)bg_model );
//pFrImg为前景图像,只能为单通道
//pBkImg为背景图像,可以为单通道或与pFrame通道数相同
cvCopy(bg_model->foreground,pFrImg,0);
cvCopy(bg_model->background,pBkImg,0);
//把图像正过来
pBkImg->origin=1;
pFrImg->origin=1;
cvShowImage("video", pFrame);
cvShowImage("background", pBkImg);
cvShowImage("foreground", pFrImg);
if( cvWaitKey(2) >= 0 )
break;
}
}
//释放高斯模型参数占用内存
cvReleaseBGStatModel((CvBGStatModel**)&bg_model);
cvDestroyWindow("video");
cvDestroyWindow("background");
cvDestroyWindow("foreground");
cvReleaseImage(&pFrImg);
cvReleaseImage(&pBkImg);
cvReleaseCapture(&pCapture);
}
分类:
Emgu CV,OpenCV学习
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· Linux系列:如何用heaptrack跟踪.NET程序的非托管内存泄露
· 开发者必知的日志记录最佳实践
· SQL Server 2025 AI相关能力初探
· Linux系列:如何用 C#调用 C方法造成内存泄露
· AI与.NET技术实操系列(二):开始使用ML.NET
· 被坑几百块钱后,我竟然真的恢复了删除的微信聊天记录!
· 【自荐】一款简洁、开源的在线白板工具 Drawnix
· 没有Manus邀请码?试试免邀请码的MGX或者开源的OpenManus吧
· 园子的第一款AI主题卫衣上架——"HELLO! HOW CAN I ASSIST YOU TODAY
· 无需6万激活码!GitHub神秘组织3小时极速复刻Manus,手把手教你使用OpenManus搭建本
2009-12-13 【转】四阶魔方还原4
2009-12-13 【转】四阶魔方还原5
2009-12-13 【转】四阶魔方还原3
2009-12-13 【转】四阶魔方还原2
2009-12-13 【转】四阶魔方还原1
2009-12-13 【转】四阶魔方还原1