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Added tracking module
Modified Copyrights Moved plantuml source files under doc disabled tests Added include of precomp.hpp
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modules/tracking/src/trackerBoostingModel.hpp
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109
modules/tracking/src/trackerBoostingModel.hpp
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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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// License Agreement
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// For Open Source Computer Vision Library
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//
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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'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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// This software is provided by the copyright holders and contributors "as is" and
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//
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//M*/
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#ifndef __OPENCV_TRACKER_BOOSTING_MODEL_HPP__
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#define __OPENCV_TRACKER_BOOSTING_MODEL_HPP__
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#include "precomp.hpp"
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#include "opencv2/core.hpp"
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namespace cv
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{
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/**
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* \brief Implementation of TrackerModel for BOOSTING algorithm
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*/
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class TrackerBoostingModel : public TrackerModel
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{
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public:
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enum
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{
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MODE_POSITIVE = 1, // mode for positive features
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MODE_NEGATIVE = 2, // mode for negative features
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MODE_CLASSIFY = 3 // mode for classify step
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};
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/**
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* \brief Constructor
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* \param boundingBox The first boundingBox
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*/
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TrackerBoostingModel( const Rect& boundingBox );
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/**
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* \brief Destructor
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*/
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~TrackerBoostingModel()
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{
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}
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;
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/**
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* \brief Set the mode
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*/
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void setMode( int trainingMode, const std::vector<Mat>& samples );
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/**
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* \brief Create the ConfidenceMap from a list of responses
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* \param responses The list of the responses
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* \param confidenceMap The output
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*/
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void responseToConfidenceMap( const std::vector<Mat>& responses, ConfidenceMap& confidenceMap );
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/**
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* \brief return the selected weak classifiers for the detect
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* @return the selected weak classifiers
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*/
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std::vector<int> getSelectedWeakClassifier();
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protected:
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void modelEstimationImpl( const std::vector<Mat>& responses );
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void modelUpdateImpl();
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private:
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std::vector<Mat> currentSample;
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std::vector<std::pair<float, float> > meanSigmaPair;
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int mode;
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};
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} /* namespace cv */
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#endif
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