From dc88a2bcf2083546b3b29ecc7b07c6c9ff282a8a Mon Sep 17 00:00:00 2001 From: berak Date: Sun, 31 Dec 2017 12:23:02 +0100 Subject: [PATCH] video: clean up bg subtraction tutorial --- .../background_subtraction.markdown | 15 ++++----------- ...ckground_Subtraction_Tutorial_Result_1.png | Bin 144597 -> 85588 bytes ...ckground_Subtraction_Tutorial_Result_2.png | Bin 162431 -> 95882 bytes 3 files changed, 4 insertions(+), 11 deletions(-) diff --git a/doc/tutorials/video/background_subtraction/background_subtraction.markdown b/doc/tutorials/video/background_subtraction/background_subtraction.markdown index 8ed68f5e25..ed8bd84335 100644 --- a/doc/tutorials/video/background_subtraction/background_subtraction.markdown +++ b/doc/tutorials/video/background_subtraction/background_subtraction.markdown @@ -40,9 +40,7 @@ Code In the following you can find the source code. We will let the user chose to process either a video file or a sequence of images. -Two different methods are used to generate two foreground masks: --# cv::bgsegm::BackgroundSubtractorMOG --# @ref cv::BackgroundSubtractorMOG2 +We will use @ref cv::BackgroundSubtractorMOG2 in this sample, to generate the foreground mask. The results as well as the input data are shown on the screen. The source file can be downloaded [here ](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/video/bg_sub.cpp). @@ -54,22 +52,19 @@ Explanation We discuss the main parts of the above code: --# First, three Mat objects are allocated to store the current frame and two foreground masks, +-# First, two Mat objects are allocated to store the current frame and two foreground masks, obtained by using two different BS algorithms. @code{.cpp} Mat frame; //current frame - Mat fgMaskMOG; //fg mask generated by MOG method Mat fgMaskMOG2; //fg mask fg mask generated by MOG2 method @endcode --# Two @ref cv::BackgroundSubtractor objects will be used to generate the foreground masks. In this +-# A @ref cv::BackgroundSubtractor object will be used to generate the foreground mask. In this example, default parameters are used, but it is also possible to declare specific parameters in the create function. @code{.cpp} - Ptr pMOG; //MOG Background subtractor Ptr pMOG2; //MOG2 Background subtractor ... - //create Background Subtractor objects - pMOG = createBackgroundSubtractorMOG(); //MOG approach + //create Background Subtractor object pMOG2 = createBackgroundSubtractorMOG2(); //MOG2 approach @endcode -# The command line arguments are analysed. The user can chose between two options: @@ -101,7 +96,6 @@ We discuss the main parts of the above code: set a specific learning rate by passing a third parameter to the 'apply' method. @code{.cpp} //update the background model - pMOG->apply(frame, fgMaskMOG); pMOG2->apply(frame, fgMaskMOG2); @endcode -# The current frame number can be extracted from the @ref cv::VideoCapture object and stamped in @@ -121,7 +115,6 @@ We discuss the main parts of the above code: @code{.cpp} //show the current frame and the fg masks imshow("Frame", frame); - imshow("FG Mask MOG", fgMaskMOG); imshow("FG Mask MOG 2", fgMaskMOG2); @endcode -# The same operations listed above can be performed using a sequence of images as input. 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