我需要指定將發(fā)生運(yùn)動(dòng)檢測(cè)的區(qū)域。我要做的是計(jì)算通過某個(gè)區(qū)域的車輛數(shù)量。下面是我的代碼：private static void ProcessFrame(Mat backgroundFrame, int threshold, int erodeIterations, int dilateIterations){ // Find difference between background (first) frame and current frame CvInvoke.AbsDiff(backgroundFrame, rawFrame, diffFrame); // Apply binary threshold to grayscale image (white pixel will mark difference) CvInvoke.CvtColor(diffFrame, grayscaleDiffFrame, ColorConversion.Bgr2Gray); CvInvoke.Threshold(grayscaleDiffFrame, binaryDiffFrame, threshold, 255, ThresholdType.Binary); // Remove noise with opening operation (erosion followed by dilation) CvInvoke.Erode(binaryDiffFrame, denoisedDiffFrame, null, new Point(-1, -1), erodeIterations, BorderType.Default, new MCvScalar(1)); CvInvoke.Dilate(denoisedDiffFrame, denoisedDiffFrame, null, new Point(-1, -1), dilateIterations, BorderType.Default, new MCvScalar(1)); rawFrame.CopyTo(finalFrame); //Rectangle rec = new Rectangle(100, 100, 100, 100); //finalFrame = crop_color_frame(rawFrame, rec); var img = crop_color_frame(denoisedDiffFrame, rec); DetectObject(denoisedDiffFrame, finalFrame);}static int vnum = 0;private static void DetectObject(Mat detectionFrame, Mat displayFrame){ using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint()) { // Build list of contours CvInvoke.FindContours(detectionFrame, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple); // Selecting largest contour if (contours.Size > 0) { double maxArea = 0; int chosen = 0; for (int i = 0; i < contours.Size; i++) {目前，此代碼可用于檢測(cè)車輛，但我只是使用if(center.Y >= 100 && maxArea > 20000) 條件開始計(jì)算車輛這種方法的問題是，框架中的所有運(yùn)動(dòng)都受到監(jiān)控。這就是為什么我只需要設(shè)置一個(gè)特定的區(qū)域。你能告訴我怎么做嗎？
1 回答
紫衣仙女
TA貢獻(xiàn)1839條經(jīng)驗(yàn) 獲得超15個(gè)贊
您可以為輸入圖像設(shè)置 ROI
public static Mat crop_roi(Mat input_img)
{
Image<Gray, byte> img = input_img.ToImage<Gray, byte>();
double w = input_img.Width;
double h = input_img.Height;
Rectangle r = new Rectangle((int)(w * 0.2), (int)(h * 0.4), (int)(w * 0.6), (int)(h * 0.6));
Image<Gray, byte> output = img.Copy(r);
return output.Mat;
}
//USE
private static void DetectObject(Mat detectionFrame, Mat displayFrame)
{
using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint())
{
//set roi to the frame
Mat roi = new Mat()
roi = set_roi(detectionFrame);
// Build list of contours
CvInvoke.FindContours(roi , contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
// Selecting largest contour
...
MarkDetectedObject(roi , contours[chosen], maxArea, contours.Size, maxArea);
}
下面是我在一張圖片中繪制 ROI 的圖片，您可以通過更改此行中的參數(shù)來調(diào)整 ROIRectangle r = new Rectangle((int)(w * 0.2), (int)(h * 0.4), (int)(w * 0.6), (int)(h * 0.6));
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