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130 lines
5.1 KiB
130 lines
5.1 KiB
/* |
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By downloading, copying, installing or using the software you agree to this |
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license. If you do not agree to this license, do not download, install, |
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copy or use the software. |
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License Agreement |
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For Open Source Computer Vision Library |
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(3-clause BSD License) |
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Copyright (C) 2013, OpenCV Foundation, all rights reserved. |
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Third party copyrights are property of their respective owners. |
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Redistribution and use in source and binary forms, with or without modification, |
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are permitted provided that the following conditions are met: |
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* Redistributions of source code must retain the above copyright notice, |
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this list of conditions and the following disclaimer. |
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* Redistributions in binary form must reproduce the above copyright notice, |
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this list of conditions and the following disclaimer in the documentation |
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and/or other materials provided with the distribution. |
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* Neither the names of the copyright holders nor the names of the contributors |
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may be used to endorse or promote products derived from this software |
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without specific prior written permission. |
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This software is provided by the copyright holders and contributors "as is" and |
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any express or implied warranties, including, but not limited to, the implied |
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warranties of merchantability and fitness for a particular purpose are |
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disclaimed. In no event shall copyright holders or contributors be liable for |
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any direct, indirect, incidental, special, exemplary, or consequential damages |
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(including, but not limited to, procurement of substitute goods or services; |
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loss of use, data, or profits; or business interruption) however caused |
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and on any theory of liability, whether in contract, strict liability, |
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or tort (including negligence or otherwise) arising in any way out of |
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the use of this software, even if advised of the possibility of such damage. |
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*/ |
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#ifndef __OPENCV_BGSEGM_HPP__ |
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#define __OPENCV_BGSEGM_HPP__ |
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#include "opencv2/video.hpp" |
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#ifdef __cplusplus |
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namespace cv |
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{ |
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namespace bgsegm |
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{ |
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/*! |
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Gaussian Mixture-based Backbround/Foreground Segmentation Algorithm |
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The class implements the following algorithm: |
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"An improved adaptive background mixture model for real-time tracking with shadow detection" |
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P. KadewTraKuPong and R. Bowden, |
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Proc. 2nd European Workshp on Advanced Video-Based Surveillance Systems, 2001." |
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http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/avbs01/avbs01.pdf |
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*/ |
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class CV_EXPORTS_W BackgroundSubtractorMOG : public BackgroundSubtractor |
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{ |
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public: |
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CV_WRAP virtual int getHistory() const = 0; |
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CV_WRAP virtual void setHistory(int nframes) = 0; |
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CV_WRAP virtual int getNMixtures() const = 0; |
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CV_WRAP virtual void setNMixtures(int nmix) = 0; |
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CV_WRAP virtual double getBackgroundRatio() const = 0; |
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CV_WRAP virtual void setBackgroundRatio(double backgroundRatio) = 0; |
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CV_WRAP virtual double getNoiseSigma() const = 0; |
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CV_WRAP virtual void setNoiseSigma(double noiseSigma) = 0; |
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}; |
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CV_EXPORTS_W Ptr<BackgroundSubtractorMOG> |
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createBackgroundSubtractorMOG(int history=200, int nmixtures=5, |
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double backgroundRatio=0.7, double noiseSigma=0); |
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/** |
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* Background Subtractor module. Takes a series of images and returns a sequence of mask (8UC1) |
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* images of the same size, where 255 indicates Foreground and 0 represents Background. |
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* This class implements an algorithm described in "Visual Tracking of Human Visitors under |
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* Variable-Lighting Conditions for a Responsive Audio Art Installation," A. Godbehere, |
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* A. Matsukawa, K. Goldberg, American Control Conference, Montreal, June 2012. |
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*/ |
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class CV_EXPORTS_W BackgroundSubtractorGMG : public BackgroundSubtractor |
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{ |
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public: |
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CV_WRAP virtual int getMaxFeatures() const = 0; |
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CV_WRAP virtual void setMaxFeatures(int maxFeatures) = 0; |
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CV_WRAP virtual double getDefaultLearningRate() const = 0; |
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CV_WRAP virtual void setDefaultLearningRate(double lr) = 0; |
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CV_WRAP virtual int getNumFrames() const = 0; |
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CV_WRAP virtual void setNumFrames(int nframes) = 0; |
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CV_WRAP virtual int getQuantizationLevels() const = 0; |
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CV_WRAP virtual void setQuantizationLevels(int nlevels) = 0; |
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CV_WRAP virtual double getBackgroundPrior() const = 0; |
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CV_WRAP virtual void setBackgroundPrior(double bgprior) = 0; |
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CV_WRAP virtual int getSmoothingRadius() const = 0; |
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CV_WRAP virtual void setSmoothingRadius(int radius) = 0; |
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CV_WRAP virtual double getDecisionThreshold() const = 0; |
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CV_WRAP virtual void setDecisionThreshold(double thresh) = 0; |
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CV_WRAP virtual bool getUpdateBackgroundModel() const = 0; |
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CV_WRAP virtual void setUpdateBackgroundModel(bool update) = 0; |
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CV_WRAP virtual double getMinVal() const = 0; |
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CV_WRAP virtual void setMinVal(double val) = 0; |
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CV_WRAP virtual double getMaxVal() const = 0; |
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CV_WRAP virtual void setMaxVal(double val) = 0; |
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}; |
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CV_EXPORTS_W Ptr<BackgroundSubtractorGMG> createBackgroundSubtractorGMG(int initializationFrames=120, |
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double decisionThreshold=0.8); |
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} |
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} |
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#endif |
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#endif
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