问题描述
我想使用OpenCV方法在视频文件中进行背景减法.现在，我可以进行背景扣除，但是问题是我无法在彩色模式下获得输出.减去背景后的所有输出均以灰度颜色模式:(.我想将颜色信息显示为前景，这是减去背景后得到的输出.
I want to do background subtraction in a video file using OpenCV method. Right now I'm able to do background subtraction, but the problem is that I couldn't get the output in color mode. All the output after subtracting the background is coming in grayscale color mode :(. I want to get the color information to the foreground which is the resulting output after background got subtracted.
我可以使用遮罩技术吗?就像我正在考虑的以下过程.
Can I do it using masking technique?? like the following procedure which I'm thinking about.
- 捕获输入-
InputFrame(RGB) - 处理
InputFrame - 减去背景，将前景存储在
TempFrame中(以灰度级显示:() - 使用
TempFrame创建蒙版 - 将创建的遮罩应用于
InputFrame - 将彩色前景作为
OutFrame
- Capture Input --
InputFrame(RGB) - Process
InputFrame - Subtract background, store foreground in
TempFrame(which is coming in grayscale :( ) - Create a mask using
TempFrame - Apply the created mask to the
InputFrame - Get colored foreground as
OutFrame
我对使用OpenCV进行掩膜感到震惊.我只是OpenCV的初学者.请帮助我克服这个问题.
I'm struck up with doing the masking using OpenCV. I'm just a very beginner in OpenCV. Please help me to overcome this.
谢谢.
推荐答案
好吧，如果您使用背景减法，我不明白如何将TempFrame(您的前景)设为灰度.您必须使用非常特殊的算法.但是假设TempFrame是灰度的，那么您可以这样做:
Okay, I don't understand how TempFrame (your foreground) could be greyscale if you are using background subtraction. You must be using a very special algorithm. But assuming TempFrame is greyscale, then you would do this:
cv::Mat mask = tempFrame > 0.5;
cv::Mat outFrame;
capturedFrame.copyTo(outFrame, mask);
那是上面的OpenCV 2.0代码.数字0.5是一个阈值，您需要将其设置为适当的值.如果您不使用浮点图像，则可以将其设置为128或类似的值.这与OpenCV 1.1代码相同:
That is OpenCV 2.0 code above. The number 0.5 is a threshold, you'll need to set it to something appropriate. If you're not using floating-point images, you'd probably set it to 128 or something like that. This is the same thing in OpenCV 1.1 code:
CvMat* mask = cvCreateMat(tempFrame.rows, tempFrame.cols, CV_8UC1);
cvCmpS(tempFrame, 0.5, mask);
CvMat* outFrame = cvCreateMat(capturedFrame.rows, capturedFrames.cols, CV_32FC3);
cvCopy(capturedFrame, outFrame, mask);
这篇关于使用OpenCV进行有效的背景扣除的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！