/*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*/ #include "precomp.hpp" #include "trackerMILModel.hpp" /** * TrackerMILModel */ namespace cv { TrackerMILModel::TrackerMILModel( const Rect& boundingBox ) { currentSample.clear(); mode = MODE_POSITIVE; width = boundingBox.width; height = boundingBox.height; Ptr<TrackerStateEstimatorMILBoosting::TrackerMILTargetState> initState = Ptr<TrackerStateEstimatorMILBoosting::TrackerMILTargetState>( new TrackerStateEstimatorMILBoosting::TrackerMILTargetState( Point2f( (float)boundingBox.x, (float)boundingBox.y ), boundingBox.width, boundingBox.height, true, Mat() ) ); trajectory.push_back( initState ); } void TrackerMILModel::responseToConfidenceMap( const std::vector<Mat>& responses, ConfidenceMap& confidenceMap ) { if( currentSample.empty() ) { CV_Error( -1, "The samples in Model estimation are empty" ); } for ( size_t i = 0; i < responses.size(); i++ ) { //for each column (one sample) there are #num_feature //get informations from currentSample for ( int j = 0; j < responses.at( i ).cols; j++ ) { Size currentSize; Point currentOfs; currentSample.at( j ).locateROI( currentSize, currentOfs ); bool foreground = false; if( mode == MODE_POSITIVE || mode == MODE_ESTIMATON ) { foreground = true; } else if( mode == MODE_NEGATIVE ) { foreground = false; } //get the column of the HAAR responses Mat singleResponse = responses.at( i ).col( j ); //create the state Ptr<TrackerStateEstimatorMILBoosting::TrackerMILTargetState> currentState = Ptr<TrackerStateEstimatorMILBoosting::TrackerMILTargetState>( new TrackerStateEstimatorMILBoosting::TrackerMILTargetState( currentOfs, width, height, foreground, singleResponse ) ); confidenceMap.push_back( std::make_pair( currentState, 0.0f ) ); } } } void TrackerMILModel::modelEstimationImpl( const std::vector<Mat>& responses ) { responseToConfidenceMap( responses, currentConfidenceMap ); } void TrackerMILModel::modelUpdateImpl() { } void TrackerMILModel::setMode( int trainingMode, const std::vector<Mat>& samples ) { currentSample.clear(); currentSample = samples; mode = trainingMode; } }