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+/*
+By downloading, copying, installing or using the software you agree to this
+license. If you do not agree to this license, do not download, install,
+copy or use the software.
+
+
+                          License Agreement
+               For Open Source Computer Vision Library
+                       (3-clause BSD License)
+
+Copyright (C) 2013, OpenCV Foundation, all rights reserved.
+Third party copyrights are property of their respective owners.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+  * Redistributions of source code must retain the above copyright notice,
+    this list of conditions and the following disclaimer.
+
+  * Redistributions in binary form must reproduce the above copyright notice,
+    this list of conditions and the following disclaimer in the documentation
+    and/or other materials provided with the distribution.
+
+  * Neither the names of the copyright holders nor the names of the contributors
+    may be used to endorse or promote products derived from this software
+    without specific prior written permission.
+
+This software is provided by the copyright holders and contributors "as is" and
+any express or implied warranties, including, but not limited to, the implied
+warranties of merchantability and fitness for a particular purpose are
+disclaimed. In no event shall copyright holders or contributors be liable for
+any direct, indirect, incidental, special, exemplary, or consequential damages
+(including, but not limited to, procurement of substitute goods or services;
+loss of use, data, or profits; or business interruption) however caused
+and on any theory of liability, whether in contract, strict liability,
+or tort (including negligence or otherwise) arising in any way out of
+the use of this software, even if advised of the possibility of such damage.
+*/
+
+#ifndef __OPENCV_BGSEGM_HPP__
+#define __OPENCV_BGSEGM_HPP__
+
+#include "opencv2/video.hpp"
+
+#ifdef __cplusplus
+
+/** @defgroup bgsegm Improved Background-Foreground Segmentation Methods
+*/
+
+namespace cv
+{
+namespace bgsegm
+{
+
+//! @addtogroup bgsegm
+//! @{
+
+/** @brief Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
+
+The class implements the algorithm described in @cite KB2001 .
+ */
+class CV_EXPORTS_W BackgroundSubtractorMOG : public BackgroundSubtractor
+{
+public:
+    CV_WRAP virtual int getHistory() const = 0;
+    CV_WRAP virtual void setHistory(int nframes) = 0;
+
+    CV_WRAP virtual int getNMixtures() const = 0;
+    CV_WRAP virtual void setNMixtures(int nmix) = 0;
+
+    CV_WRAP virtual double getBackgroundRatio() const = 0;
+    CV_WRAP virtual void setBackgroundRatio(double backgroundRatio) = 0;
+
+    CV_WRAP virtual double getNoiseSigma() const = 0;
+    CV_WRAP virtual void setNoiseSigma(double noiseSigma) = 0;
+};
+
+/** @brief Creates mixture-of-gaussian background subtractor
+
+@param history Length of the history.
+@param nmixtures Number of Gaussian mixtures.
+@param backgroundRatio Background ratio.
+@param noiseSigma Noise strength (standard deviation of the brightness or each color channel). 0
+means some automatic value.
+ */
+CV_EXPORTS_W Ptr<BackgroundSubtractorMOG>
+    createBackgroundSubtractorMOG(int history=200, int nmixtures=5,
+                                  double backgroundRatio=0.7, double noiseSigma=0);
+
+
+/** @brief Background Subtractor module based on the algorithm given in @cite Gold2012 .
+
+ Takes a series of images and returns a sequence of mask (8UC1)
+ images of the same size, where 255 indicates Foreground and 0 represents Background.
+ This class implements an algorithm described in "Visual Tracking of Human Visitors under
+ Variable-Lighting Conditions for a Responsive Audio Art Installation," A. Godbehere,
+ A. Matsukawa, K. Goldberg, American Control Conference, Montreal, June 2012.
+ */
+class CV_EXPORTS_W BackgroundSubtractorGMG : public BackgroundSubtractor
+{
+public:
+    /** @brief Returns total number of distinct colors to maintain in histogram.
+    */
+    CV_WRAP virtual int getMaxFeatures() const = 0;
+    /** @brief Sets total number of distinct colors to maintain in histogram.
+    */
+    CV_WRAP virtual void setMaxFeatures(int maxFeatures) = 0;
+
+    /** @brief Returns the learning rate of the algorithm.
+
+    It lies between 0.0 and 1.0. It determines how quickly features are "forgotten" from
+    histograms.
+     */
+    CV_WRAP virtual double getDefaultLearningRate() const = 0;
+    /** @brief Sets the learning rate of the algorithm.
+    */
+    CV_WRAP virtual void setDefaultLearningRate(double lr) = 0;
+
+    /** @brief Returns the number of frames used to initialize background model.
+    */
+    CV_WRAP virtual int getNumFrames() const = 0;
+    /** @brief Sets the number of frames used to initialize background model.
+    */
+    CV_WRAP virtual void setNumFrames(int nframes) = 0;
+
+    /** @brief Returns the parameter used for quantization of color-space.
+
+    It is the number of discrete levels in each channel to be used in histograms.
+     */
+    CV_WRAP virtual int getQuantizationLevels() const = 0;
+    /** @brief Sets the parameter used for quantization of color-space
+    */
+    CV_WRAP virtual void setQuantizationLevels(int nlevels) = 0;
+
+    /** @brief Returns the prior probability that each individual pixel is a background pixel.
+    */
+    CV_WRAP virtual double getBackgroundPrior() const = 0;
+    /** @brief Sets the prior probability that each individual pixel is a background pixel.
+    */
+    CV_WRAP virtual void setBackgroundPrior(double bgprior) = 0;
+
+    /** @brief Returns the kernel radius used for morphological operations
+    */
+    CV_WRAP virtual int getSmoothingRadius() const = 0;
+    /** @brief Sets the kernel radius used for morphological operations
+    */
+    CV_WRAP virtual void setSmoothingRadius(int radius) = 0;
+
+    /** @brief Returns the value of decision threshold.
+
+    Decision value is the value above which pixel is determined to be FG.
+     */
+    CV_WRAP virtual double getDecisionThreshold() const = 0;
+    /** @brief Sets the value of decision threshold.
+    */
+    CV_WRAP virtual void setDecisionThreshold(double thresh) = 0;
+
+    /** @brief Returns the status of background model update
+    */
+    CV_WRAP virtual bool getUpdateBackgroundModel() const = 0;
+    /** @brief Sets the status of background model update
+    */
+    CV_WRAP virtual void setUpdateBackgroundModel(bool update) = 0;
+
+    /** @brief Returns the minimum value taken on by pixels in image sequence. Usually 0.
+    */
+    CV_WRAP virtual double getMinVal() const = 0;
+    /** @brief Sets the minimum value taken on by pixels in image sequence.
+    */
+    CV_WRAP virtual void setMinVal(double val) = 0;
+
+    /** @brief Returns the maximum value taken on by pixels in image sequence. e.g. 1.0 or 255.
+    */
+    CV_WRAP virtual double getMaxVal() const = 0;
+    /** @brief Sets the maximum value taken on by pixels in image sequence.
+    */
+    CV_WRAP virtual void setMaxVal(double val) = 0;
+};
+
+/** @brief Creates a GMG Background Subtractor
+
+@param initializationFrames number of frames used to initialize the background models.
+@param decisionThreshold Threshold value, above which it is marked foreground, else background.
+ */
+CV_EXPORTS_W Ptr<BackgroundSubtractorGMG> createBackgroundSubtractorGMG(int initializationFrames=120,
+                                                                        double decisionThreshold=0.8);                                  
+
+//! @}
+
+}
+}
+
+#endif
+#endif