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178 lines
4.6 KiB
178 lines
4.6 KiB
/*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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// |
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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 the copyright holders 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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namespace cv |
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{ |
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/* |
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* TrackerModel |
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*/ |
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TrackerModel::TrackerModel() |
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{ |
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stateEstimator = Ptr<TrackerStateEstimator>(); |
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maxCMLength = 1; |
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} |
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TrackerModel::~TrackerModel() |
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{ |
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} |
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bool TrackerModel::setTrackerStateEstimator( Ptr<TrackerStateEstimator> trackerStateEstimator ) |
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{ |
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if( stateEstimator != 0 ) |
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{ |
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return false; |
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} |
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stateEstimator = trackerStateEstimator; |
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return true; |
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} |
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Ptr<TrackerStateEstimator> TrackerModel::getTrackerStateEstimator() const |
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{ |
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return stateEstimator; |
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} |
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void TrackerModel::modelEstimation( const std::vector<Mat>& responses ) |
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{ |
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modelEstimationImpl( responses ); |
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} |
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void TrackerModel::clearCurrentConfidenceMap() |
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{ |
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currentConfidenceMap.clear(); |
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} |
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void TrackerModel::modelUpdate() |
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{ |
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modelUpdateImpl(); |
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if( maxCMLength != -1 && (int) confidenceMaps.size() >= maxCMLength - 1 ) |
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{ |
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int l = maxCMLength / 2; |
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confidenceMaps.erase( confidenceMaps.begin(), confidenceMaps.begin() + l ); |
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} |
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if( maxCMLength != -1 && (int) trajectory.size() >= maxCMLength - 1 ) |
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{ |
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int l = maxCMLength / 2; |
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trajectory.erase( trajectory.begin(), trajectory.begin() + l ); |
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} |
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confidenceMaps.push_back( currentConfidenceMap ); |
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stateEstimator->update( confidenceMaps ); |
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clearCurrentConfidenceMap(); |
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} |
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bool TrackerModel::runStateEstimator() |
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{ |
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if( stateEstimator == 0 ) |
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{ |
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CV_Error( -1, "Tracker state estimator is not setted" ); |
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return false; |
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} |
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Ptr<TrackerTargetState> targetState = stateEstimator->estimate( confidenceMaps ); |
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if( targetState == 0 ) |
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return false; |
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setLastTargetState( targetState ); |
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return true; |
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} |
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void TrackerModel::setLastTargetState( const Ptr<TrackerTargetState>& lastTargetState ) |
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{ |
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trajectory.push_back( lastTargetState ); |
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} |
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Ptr<TrackerTargetState> TrackerModel::getLastTargetState() const |
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{ |
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return trajectory.back(); |
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} |
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const std::vector<ConfidenceMap>& TrackerModel::getConfidenceMaps() const |
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{ |
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return confidenceMaps; |
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} |
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const ConfidenceMap& TrackerModel::getLastConfidenceMap() const |
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{ |
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return confidenceMaps.back(); |
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} |
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/* |
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* TrackerTargetState |
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*/ |
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Point2f TrackerTargetState::getTargetPosition() const |
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{ |
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return targetPosition; |
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} |
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void TrackerTargetState::setTargetPosition( const Point2f& position ) |
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{ |
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targetPosition = position; |
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} |
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int TrackerTargetState::getTargetWidth() const |
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{ |
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return targetWidth; |
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} |
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void TrackerTargetState::setTargetWidth( int width ) |
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{ |
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targetWidth = width; |
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} |
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int TrackerTargetState::getTargetHeight() const |
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{ |
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return targetHeight; |
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} |
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void TrackerTargetState::setTargetHeight( int height ) |
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{ |
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targetHeight = height; |
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} |
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} /* namespace cv */
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