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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// 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
//
// 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:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's 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.
//
// * The name of the copyright holders may not 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 the Intel Corporation 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.
//
//M*/
#ifndef __OPENCV_ONLINEMIL_HPP__
#define __OPENCV_ONLINEMIL_HPP__
#include "opencv2/core.hpp"
#include <limits>
namespace cv
{
//! @addtogroup tracking
//! @{
//TODO based on the original implementation
//http://vision.ucsd.edu/~bbabenko/project_miltrack.shtml
class ClfOnlineStump;
class CV_EXPORTS ClfMilBoost
{
public:
struct CV_EXPORTS Params
{
Params();
int _numSel;
int _numFeat;
float _lRate;
};
ClfMilBoost();
~ClfMilBoost();
void init( const ClfMilBoost::Params ¶meters = ClfMilBoost::Params() );
void update( const Mat& posx, const Mat& negx );
std::vector<float> classify( const Mat& x, bool logR = true );
inline float sigmoid( float x )
{
return 1.0f / ( 1.0f + exp( -x ) );
}
private:
uint _numsamples;
ClfMilBoost::Params _myParams;
std::vector<int> _selectors;
std::vector<ClfOnlineStump*> _weakclf;
uint _counter;
};
class ClfOnlineStump
{
public:
float _mu0, _mu1, _sig0, _sig1;
float _q;
int _s;
float _log_n1, _log_n0;
float _e1, _e0;
float _lRate;
ClfOnlineStump();
ClfOnlineStump( int ind );
void init();
void update( const Mat& posx, const Mat& negx, const cv::Mat_<float> & posw = cv::Mat_<float>(), const cv::Mat_<float> & negw = cv::Mat_<float>() );
bool classify( const Mat& x, int i );
float classifyF( const Mat& x, int i );
std::vector<float> classifySetF( const Mat& x );
private:
bool _trained;
int _ind;
};
//! @}
} /* namespace cv */
#endif
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