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Alex Rivera
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I'm using OpenCV2.2 to implement moving objects detection with the method of Background Subtraction. And I use the Gaussian Mixture Model(GMM) method to model the background reference image. I directly get the foreground pixels(or foreground mask) by using the class cv::BackgroundSubtractorMOG provided in OpenCV2.2. It's convenient but the foreground mask returned by cv::BackgroundSubtractorMOG is not as good as I expected. In addition, it seems that cv::BackgroundSubtractorMOG performs poorer than the method of GMM wrote in C language provided in OpenCV1.0. The following is my code in OpenCV2.2: cv::BackgroundSubtractorMOG mog; mog(frame, fgMask, 0.01); So, did I use the method in a wrong way? By the way, does cv::BackgroundSubtractorMOG perform shadow removal on the foreground pixels? Thank you very much.
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