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Efficient Background subtraction with OpenCV

开发者 https://www.devze.com 2022-12-16 06:25 出处:网络
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 out

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 subtractin开发者_高级运维g 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.

Can I do it using masking technique?? like the following procedure which I'm thinking about.

  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

I'm struck up with doing the masking using OpenCV. I'm just a very beginner in OpenCV. Please help me to overcome this.

Thanks in advance.


http://vimeo.com/27477093

code is here

http://code.google.com/p/derin-deli-mavi/downloads/detail?name=denemeOpenCv23.zip&can=2&q=

to reach a colored foreground just copy image by using foreground mask

// image.copyTo(foreground,foreground);


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);

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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