jfmcarreira
17dbd59338
Update copyrights to 2019 Minor code formating while passing formating script to all files
123 lines
4.2 KiB
C++
123 lines
4.2 KiB
C++
/* This file is a part of Calyp project
|
||
* Copyright (C) 2014-2019 by Joao Carreira (jfmcarreira@gmail.com)
|
||
* Luis Lucas (luisfrlucas@gmail.com)
|
||
*
|
||
* This program is free software; you can redistribute it and/or modify
|
||
* it under the terms of the GNU General Public License as published by
|
||
* the Free Software Foundation; either version 2 of the License, or
|
||
* (at your option) any later version.
|
||
*
|
||
* This program is distributed in the hope that it will be useful,
|
||
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||
* GNU General Public License for more details.
|
||
*
|
||
* You should have received a copy of the GNU General Public License along
|
||
* with this program; if not, write to the Free Software Foundation, Inc.,
|
||
* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||
*/
|
||
|
||
/**
|
||
* \file SaliencyDetection.h
|
||
* \brief Modules to detect saliency in image and videos
|
||
*/
|
||
|
||
#ifndef __SALIENCYDETECTION_H__
|
||
#define __SALIENCYDETECTION_H__
|
||
|
||
// OpenCV
|
||
#include <opencv2/core/core.hpp>
|
||
#include <opencv2/saliency.hpp>
|
||
|
||
// CalypLib
|
||
#include "lib/CalypModuleIf.h"
|
||
|
||
/**
|
||
* \ingroup Calyp_Modules
|
||
* @defgroup Calyp_Modules_Saliency Saliency
|
||
* @{
|
||
* Frame processing modules for saliency detection
|
||
* @}
|
||
*/
|
||
|
||
class SaliencyDetectionModule : public CalypModuleIf
|
||
{
|
||
protected:
|
||
CalypFrame* m_pcSaliencyFrame;
|
||
|
||
cv::Ptr<cv::saliency::Saliency> m_ptrSaliencyAlgorithm;
|
||
cv::Mat m_matSaliency;
|
||
|
||
bool commonCreate( std::vector<CalypFrame*> apcFrameList );
|
||
bool commonProcess( std::vector<CalypFrame*> apcFrameList );
|
||
|
||
public:
|
||
SaliencyDetectionModule();
|
||
virtual ~SaliencyDetectionModule() {}
|
||
void destroy();
|
||
};
|
||
|
||
/**
|
||
* \ingroup Calyp_Modules_Saliency
|
||
* \class SaliencyDetectionSpectral
|
||
* \brief Starting from the principle of natural image statistics,
|
||
* this method simulate the behavior of pre-attentive visual search.
|
||
* The algorithm analyze the log spectrum of each image and obtain the
|
||
* spectral residual. Then transform the spectral residual to spatial
|
||
* domain to obtain the saliency map, which suggests the positions of proto-objects.
|
||
* Xiaodi Hou and Liqing Zhang. Saliency detection: A spectral residual
|
||
* approach. In Computer Vision and Pattern Recognition, 2007.
|
||
* CVPR'07. IEEE Conference on, pages 1–8. IEEE, 2007.
|
||
*/
|
||
class SaliencyDetectionSpectral : public SaliencyDetectionModule
|
||
{
|
||
REGISTER_CLASS_FACTORY( SaliencyDetectionSpectral )
|
||
private:
|
||
bool m_bBinaryMap;
|
||
|
||
public:
|
||
SaliencyDetectionSpectral();
|
||
virtual ~SaliencyDetectionSpectral() {}
|
||
bool create( std::vector<CalypFrame*> apcFrameList );
|
||
CalypFrame* process( std::vector<CalypFrame*> apcFrameList );
|
||
};
|
||
|
||
/**
|
||
* \ingroup Calyp_Modules_Saliency
|
||
* \class SaliencyDetectionFineGrained
|
||
* \brief This method calculates saliency based on center-surround
|
||
* differences. High resolution saliency maps are generated in real
|
||
* time by using integral images.
|
||
* Sebastian Montabone and Alvaro Soto. Human detection using a mobile
|
||
* platform and novel features derived from a visual saliency mechanism.
|
||
* In Image and Vision Computing, Vol. 28 Issue 3, pages 391–402. Elsevier, 2010.
|
||
*/
|
||
class SaliencyDetectionFineGrained : public SaliencyDetectionModule
|
||
{
|
||
REGISTER_CLASS_FACTORY( SaliencyDetectionFineGrained )
|
||
public:
|
||
SaliencyDetectionFineGrained();
|
||
virtual ~SaliencyDetectionFineGrained() {}
|
||
bool create( std::vector<CalypFrame*> apcFrameList );
|
||
CalypFrame* process( std::vector<CalypFrame*> apcFrameList );
|
||
};
|
||
|
||
/**
|
||
* \ingroup Calyp_Modules_Saliency
|
||
* \class SaliencyDetectionBinWangApr2014
|
||
* \brief Fast Self-tuning Background Subtraction Algorithm based on the work
|
||
* Wang and P. Dudek “A Fast Self-tuning Background Subtraction Algorithm”,
|
||
* in proc of IEEE Workshop on Change Detection, 2014
|
||
*/
|
||
class SaliencyDetectionBinWangApr2014 : public SaliencyDetectionModule
|
||
{
|
||
REGISTER_CLASS_FACTORY( SaliencyDetectionBinWangApr2014 )
|
||
public:
|
||
SaliencyDetectionBinWangApr2014();
|
||
virtual ~SaliencyDetectionBinWangApr2014() {}
|
||
bool create( std::vector<CalypFrame*> apcFrameList );
|
||
CalypFrame* process( std::vector<CalypFrame*> apcFrameList );
|
||
};
|
||
|
||
#endif // __SALIENCYDETECTION_H__
|