Question

我在人民柜台工作。为此我在门上安装了Microsoft Kinect。我正在使用C＃和EmguCV。我已经提取了人们的头部，因此它们在黑色图像上显示为白色斑点。然后我在头部周围创建了一个边界框。这很好。所以我现在每帧有多少blob，我现在也是他们的位置。这很好用。但是现在我想跟踪斑点，因为我想要计算有多少人进来和出去，但我不知道该怎么做。谁能帮我？问题是每一帧，新的斑点都会出现，旧的斑点会消失。谁能给我一个算法或者一些代码？或者纸。非常感谢！

不确定。这是blob的代码：

using (MemStorage stor = new MemStorage())
        {



            Contour<System.Drawing.Point> contours = head_image.FindContours(Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE, Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_EXTERNAL, stor);



            for (int i = 0; contours != null; contours = contours.HNext)
            {

                i++;



                //if ((contours.Area > Math.Pow(sliderMinSize.Value, 2)) && (contours.Area < Math.Pow(sliderMaxSize.Value, 2)))
                {

                    MCvBox2D box = contours.GetMinAreaRect();

                    blobCount++;

                    contour_image.Draw(box, new Bgr(System.Drawing.Color.Red), 1);


                    new_position = new System.Drawing.Point((int)(box.center.X), (int)(box.center.Y));
                    new_x = box.center.X;
                    new_y = box.center.Y;
                }

            }
        }

Answer 1

有关详细信息，请参阅Emgu CV Blob Detection。假设您正在使用Emgu CV 2.1或更高版本，那么答案将起作用。如果您使用的是1.5或更高版本，请参阅this thread了解如何轻松检测blob。或者查看下面的代码

     Capture capture = new Capture();

     ImageViewer viewer = new ImageViewer();

     BlobTrackerAutoParam param = new BlobTrackerAutoParam();
     param.ForgroundDetector = new ForgroundDetector(Emgu.CV.CvEnum.FORGROUND_DETECTOR_TYPE.FGD);
     param.FGTrainFrames = 10;
     BlobTrackerAuto tracker = new BlobTrackerAuto(param);

     Application.Idle += new EventHandler(delegate(object sender, EventArgs e)
     {
        tracker.Process(capture.QuerySmallFrame().PyrUp());
        Image<Gray, Byte> img = tracker.GetForgroundMask();
        //viewer.Image = tracker.GetForgroundMask();

        MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_SIMPLEX, 1.0, 1.0);
        foreach (MCvBlob blob in tracker)
        {
           img.Draw(Rectangle.Round(blob), new Gray(255.0), 2);
           img.Draw(blob.ID.ToString(), ref font, Point.Round(blob.Center), new Gray(255.0));
        }
        viewer.Image = img;
     });
     viewer.ShowDialog();

希望这有帮助！

修改

我认为你应该每十帧左右使用一次这个代码（每秒约3次）并做这样的事情：

Capture capture = new Capture(); ImageViewer viewer = new ImageViewer(); BlobTrackerAutoParam param = new BlobTrackerAutoParam(); param.ForgroundDetector = new ForgroundDetector(Emgu.CV.CvEnum.FORGROUND_DETECTOR_TYPE.FGD); param.FGTrainFrames = 10; BlobTrackerAuto tracker = new BlobTrackerAuto(param); int frames = 0; Application.Idle += new EventHandler(delegate(object sender, EventArgs e) { frames++;//Add to number of frames if (frames == 10) { frames = 0;//if it is after 10 frames, do processing and reset frames to 0 tracker.Process(capture.QuerySmallFrame().PyrUp()); Image<Gray, Byte> img = tracker.GetForgroundMask(); //viewer.Image = tracker.GetForgroundMask(); int blobs = 0; MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_SIMPLEX, 1.0, 1.0); foreach (MCvBlob blob in tracker) { //img.Draw(Rectangle.Round(blob), new Gray(255.0), 2); //img.Draw(blob.ID.ToString(), ref font, Point.Round(blob.Center), new Gray(255.0)); //Only uncomment these if you want to draw a rectangle around the blob and add text blobs++;//count each blob } blobs = /*your counter here*/; blobs = 0; //reset viewer.Image = img;//get next frame }); viewer.ShowDialog();

编辑2

听起来你只想识别斑点，听起来像是你想要的McvBlob.ID。这是blob的ID，您可以检查哪些ID仍然存在，哪些不存在。我仍然会每十帧一次这样做，以免减慢速度。您只需要一个简单的算法，可以观察ID是什么，以及它们是否已经改变。我会将ID存储在List<string>中，并检查该列表是否每隔几帧进行一次更改。例如：

List<string> LastFrameIDs, CurrentFrameIDs; Capture capture = new Capture(); ImageViewer viewer = new ImageViewer(); BlobTrackerAutoParam param = new BlobTrackerAutoParam(); param.ForgroundDetector = new ForgroundDetector(Emgu.CV.CvEnum.FORGROUND_DETECTOR_TYPE.FGD); param.FGTrainFrames = 10; BlobTrackerAuto tracker = new BlobTrackerAuto(param); int frames = 0; Application.Idle += new EventHandler(delegate(object sender, EventArgs e) { frames++;//Add to number of frames if (frames == 10) { frames = 0;//if it is after 10 frames, do processing and reset frames to 0 tracker.Process(capture.QuerySmallFrame().PyrUp()); Image<Gray, Byte> img = tracker.GetForgroundMask(); //viewer.Image = tracker.GetForgroundMask(); int blobs = 0, i = 0; MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_SIMPLEX, 1.0, 1.0); foreach (MCvBlob blob in tracker) { i++; //img.Draw(Rectangle.Round(blob), new Gray(255.0), 2); //img.Draw(blob.ID.ToString(), ref font, Point.Round(blob.Center), new Gray(255.0)); //Only uncomment these if you want to draw a rectangle around the blob and add text CurrentFrameIDs.Add(blob.ID.ToString()); if (CurrentFrameIDs[i] == LastFrameIDs[i]) img.Draw(Rectangle.Round(blob), new Gray(0,0), 2);//mark the new/changed blob blobs++;//count each blob } blobs = /*your counter here*/; blobs = 0; //reset i = 0; LastFrameIDs = CurrentFrameIDs; CurrentFrameIDs = null; viewer.Image = img;//get next frame }); viewer.ShowDialog();

使用Microsoft Kinect跟踪Blob

1 个答案: