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Open Source Computer Vision Library
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212 lines
7.7 KiB
212 lines
7.7 KiB
15 years ago
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// 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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//
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//
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// Intel License Agreement
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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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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//
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// * Redistribution's 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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//
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// * Redistribution's 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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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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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 disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// 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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//M*/
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#include "precomp.hpp"
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// Function cvCreateBGStatModel creates and returns initialized BG model.
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// Parameters:
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// first_frame - frame from video sequence
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// model_type ñ type of BG model (CV_BG_MODEL_MOG, CV_BG_MODEL_FGD,Ö)
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// parameters - (optional) if NULL the default parameters of the algorithm will be used
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static CvBGStatModel* cvCreateBGStatModel( IplImage* first_frame, int model_type, void* params )
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{
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CvBGStatModel* bg_model = NULL;
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if( model_type == CV_BG_MODEL_FGD || model_type == CV_BG_MODEL_FGD_SIMPLE )
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bg_model = cvCreateFGDStatModel( first_frame, (CvFGDStatModelParams*)params );
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else if( model_type == CV_BG_MODEL_MOG )
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bg_model = cvCreateGaussianBGModel( first_frame, (CvGaussBGStatModelParams*)params );
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return bg_model;
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}
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/* FOREGROUND DETECTOR INTERFACE */
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class CvFGDetectorBase : public CvFGDetector
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{
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protected:
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CvBGStatModel* m_pFG;
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int m_FGType;
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void* m_pFGParam; /* Foreground parameters. */
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CvFGDStatModelParams m_ParamFGD;
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CvGaussBGStatModelParams m_ParamMOG;
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const char* m_SaveName;
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const char* m_LoadName;
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public:
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virtual void SaveState(CvFileStorage* )
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{
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if( m_FGType == CV_BG_MODEL_FGD || m_FGType == CV_BG_MODEL_FGD_SIMPLE )
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{
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if( m_SaveName ) /* File name is not empty */
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{
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//cvSaveStatModel(m_SaveName, (CvFGDStatModel*)m_pFG);
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}
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}
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};
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virtual void LoadState(CvFileStorage* , CvFileNode* )
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{
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if( m_FGType == CV_BG_MODEL_FGD || m_FGType == CV_BG_MODEL_FGD_SIMPLE )
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{
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if( m_LoadName ) /* File name is not empty */
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{
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//cvRestoreStatModel(m_LoadName, (CvFGDStatModel*)m_pFG);
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}
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}
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};
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CvFGDetectorBase(int type, void* param)
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{
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m_pFG = NULL;
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m_FGType = type;
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m_pFGParam = param;
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if( m_FGType == CV_BG_MODEL_FGD || m_FGType == CV_BG_MODEL_FGD_SIMPLE )
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{
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if(m_pFGParam)
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{
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m_ParamFGD = *(CvFGDStatModelParams*)m_pFGParam;
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}
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else
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{
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m_ParamFGD.Lc = CV_BGFG_FGD_LC;
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m_ParamFGD.N1c = CV_BGFG_FGD_N1C;
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m_ParamFGD.N2c = CV_BGFG_FGD_N2C;
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m_ParamFGD.Lcc = CV_BGFG_FGD_LCC;
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m_ParamFGD.N1cc = CV_BGFG_FGD_N1CC;
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m_ParamFGD.N2cc = CV_BGFG_FGD_N2CC;
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m_ParamFGD.delta = CV_BGFG_FGD_DELTA;
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m_ParamFGD.alpha1 = CV_BGFG_FGD_ALPHA_1;
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m_ParamFGD.alpha2 = CV_BGFG_FGD_ALPHA_2;
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m_ParamFGD.alpha3 = CV_BGFG_FGD_ALPHA_3;
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m_ParamFGD.T = CV_BGFG_FGD_T;
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m_ParamFGD.minArea = CV_BGFG_FGD_MINAREA;
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m_ParamFGD.is_obj_without_holes = 1;
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m_ParamFGD.perform_morphing = 1;
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}
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AddParam("LC",&m_ParamFGD.Lc);
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AddParam("alpha1",&m_ParamFGD.alpha1);
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AddParam("alpha2",&m_ParamFGD.alpha2);
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AddParam("alpha3",&m_ParamFGD.alpha3);
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AddParam("N1c",&m_ParamFGD.N1c);
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AddParam("N2c",&m_ParamFGD.N2c);
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AddParam("N1cc",&m_ParamFGD.N1cc);
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AddParam("N2cc",&m_ParamFGD.N2cc);
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m_SaveName = 0;
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m_LoadName = 0;
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AddParam("SaveName",&m_SaveName);
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AddParam("LoadName",&m_LoadName);
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AddParam("ObjWithoutHoles",&m_ParamFGD.is_obj_without_holes);
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AddParam("Morphology",&m_ParamFGD.perform_morphing);
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SetModuleName("FGD");
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}
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else if( m_FGType == CV_BG_MODEL_MOG ) // "MOG" == "Mixture Of Gaussians"
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{
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if(m_pFGParam)
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{
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m_ParamMOG = *(CvGaussBGStatModelParams*)m_pFGParam;
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}
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else
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{ // These constants are all from cvaux/include/cvaux.h
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m_ParamMOG.win_size = CV_BGFG_MOG_WINDOW_SIZE;
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m_ParamMOG.bg_threshold = CV_BGFG_MOG_BACKGROUND_THRESHOLD;
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m_ParamMOG.std_threshold = CV_BGFG_MOG_STD_THRESHOLD;
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m_ParamMOG.weight_init = CV_BGFG_MOG_WEIGHT_INIT;
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m_ParamMOG.variance_init = CV_BGFG_MOG_SIGMA_INIT*CV_BGFG_MOG_SIGMA_INIT;
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m_ParamMOG.minArea = CV_BGFG_MOG_MINAREA;
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m_ParamMOG.n_gauss = CV_BGFG_MOG_NGAUSSIANS;
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}
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AddParam("NG",&m_ParamMOG.n_gauss);
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SetModuleName("MOG");
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}
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};
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~CvFGDetectorBase()
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{
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if(m_pFG)cvReleaseBGStatModel( &m_pFG );
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}
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void ParamUpdate()
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{
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if(m_pFG)cvReleaseBGStatModel( &m_pFG );
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}
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inline IplImage* GetMask()
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{
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return m_pFG?m_pFG->foreground:NULL;
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};
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/* Process current image: */
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virtual void Process(IplImage* pImg)
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{
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if(m_pFG == NULL)
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{
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void* param = m_pFGParam;
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if( m_FGType == CV_BG_MODEL_FGD || m_FGType == CV_BG_MODEL_FGD_SIMPLE )
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{
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param = &m_ParamFGD;
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}
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else if( m_FGType == CV_BG_MODEL_MOG )
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{
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param = &m_ParamMOG;
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}
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m_pFG = cvCreateBGStatModel(
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pImg,
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m_FGType,
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param);
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LoadState(0, 0);
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}
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else
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{
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cvUpdateBGStatModel( pImg, m_pFG );
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}
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};
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/* Release foreground detector: */
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virtual void Release()
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{
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SaveState(0);
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if(m_pFG)cvReleaseBGStatModel( &m_pFG );
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};
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};
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CvFGDetector* cvCreateFGDetectorBase(int type, void *param)
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{
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return (CvFGDetector*) new CvFGDetectorBase(type, param);
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}
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