使用OpenCV进行有效的背景扣除 [英] Efficient Background subtraction with OpenCV

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.

1. 捕获输入-InputFrame(RGB)
2. 处理InputFrame
3. 减去背景，将前景存储在TempFrame中(以灰度级显示:()
4. 使用TempFrame
创建蒙版
5. 将创建的遮罩应用于InputFrame
6. 将彩色前景作为OutFrame

1. Capture Input -- InputFrame (RGB)
2. Process InputFrame
3. Subtract background, store foreground in TempFrame (which is coming in grayscale :( )
4. Create a mask using TempFrame
5. Apply the created mask to the InputFrame
6. 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);

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