Efficient Background subtraction with OpenCV

本小妞迷上赌 提交于 2019-11-28 04:01:35

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);

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);

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