core implementation start

modules/saliency/include/opencv2/saliency/saliencySpecializedClasses.hpp

@@ -99,6 +99,12 @@ class CV_EXPORTS_W MotionSaliencyBinWangApr2014 : public MotionSaliency
   MotionSaliencyBinWangApr2014();
   ~MotionSaliencyBinWangApr2014();
 
+  typedef Ptr<Size> (Algorithm::*SizeGetter)();
+  typedef void (Algorithm::*SizeSetter)( const Ptr<Size> & );
+
+  Ptr<Size> getWsize();
+  void setWsize( const Ptr<Size> &newSize );
+
  protected:
   bool computeSaliencyImpl( const InputArray image, OutputArray saliencyMap );
   AlgorithmInfo* info() const;
@@ -112,13 +118,11 @@ class CV_EXPORTS_W MotionSaliencyBinWangApr2014 : public MotionSaliency
 
   // Background model maintenance functions
   bool templateOrdering();
-  bool templateReplacement(Mat finalBFMask);
+  bool templateReplacement( Mat finalBFMask );
 
   // Decision threshold adaptation and Activity control function
-  bool activityControl(vector<Mat> noisePixelMask);
-  bool decisionThresholdAdaptation();
-
-
+  //bool activityControl(vector<Mat> noisePixelMask);
+  //bool decisionThresholdAdaptation();
 
   // changing structure
   vector<Mat> backgroundModel;  // The vector represents the background template T0---TK of reference paper.
@@ -129,14 +133,16 @@ class CV_EXPORTS_W MotionSaliencyBinWangApr2014 : public MotionSaliency
   Mat epslonPixelsValue;  // epslon threshold
   //Mat activityPixelsValue; // Activity level of each pixel
   //vector<Mat> noisePixelMask; // We define a ‘noise-pixel’ as a pixel that has been classified as a foreground pixel during the full resolution
-                                // detection process,however, after the low resolution detection, it has become a
-                                // background pixel. In a noise-pixel mask, the identified noise-pixels are set to 1 while other pixels are 0;
+  // detection process,however, after the low resolution detection, it has become a
+  // background pixel. In a noise-pixel mask, the identified noise-pixels are set to 1 while other pixels are 0;
 
   //fixed parameter
+  Ptr<Size> imgSize;  // Size of input image
   int K;  // Number of background model template
-  float alpha; // Learning rate
+  float alpha;  // Learning rate
   int L0, L1;  // Upper-bound values for C0 and C1 (efficacy of the first two template (matrices) of backgroundModel
   int thetaL;  // T0, T1 swap threshold
+  int thetaA;  // Potential background value threshold
   int gamma;  // Parameter that controls the time that the newly updated long-term background value will remain in the
               // long-term template, regardless of any subsequent background changes. A relatively large (eg gamma=3) will
               //restrain the generation of ghosts.

modules/saliency/src/motionSaliencyBinWangApr2014.cpp

+/*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"
+
+namespace cv
+{
+
+cv::Ptr<Size> MotionSaliencyBinWangApr2014::getWsize()
+{
+  return imgSize;
+}
+void MotionSaliencyBinWangApr2014::setWsize( const cv::Ptr<Size>& newSize )
+{
+  imgSize = newSize;
+}
+
+MotionSaliencyBinWangApr2014::MotionSaliencyBinWangApr2014()
+{
+
+  epslonPixelsValue = Mat::zeros( imgSize->height, imgSize->width, CV_8U );
+  potentialBackground = Mat::zeros( imgSize->height, imgSize->width, CV_32FC2 );
+  backgroundModel=std::vector<Mat>( 4, Mat::zeros( imgSize->height, imgSize->width, CV_32FC2 ) );
+
+  K = 3;  // Number of background model template
+  alpha = 0.01;  // Learning rate
+  L0 = 6000;  // Upper-bound values for C0 (efficacy of the first template (matrices) of backgroundModel
+  L1 = 4000;  // Upper-bound values for C1 (efficacy of the second template (matrices) of backgroundModel
+  thetaL = 2500;  // T0, T1 swap threshold
+  thetaA = 200;
+  gamma = 3;
+
+  className = "BinWangApr2014";
+}
+
+MotionSaliencyBinWangApr2014::~MotionSaliencyBinWangApr2014()
+{
+
+}
+
+// classification (and adaptation) functions
+bool MotionSaliencyBinWangApr2014::fullResolutionDetection( Mat image, Mat highResBFMask )
+{
+
+  return true;
+}
+bool MotionSaliencyBinWangApr2014::lowResolutionDetection( Mat image, Mat lowResBFMask )
+{
+
+  return true;
+}
+bool MotionSaliencyBinWangApr2014::templateUpdate( Mat highResBFMask )
+{
+
+  return true;
+}
+
+// Background model maintenance functions
+bool MotionSaliencyBinWangApr2014::templateOrdering()
+{
+
+  return true;
+}
+bool MotionSaliencyBinWangApr2014::templateReplacement( Mat finalBFMask )
+{
+
+  return true;
+}
+
+bool MotionSaliencyBinWangApr2014::computeSaliencyImpl( const InputArray image, OutputArray saliencyMap )
+{
+
+  return true;
+}
+
+}  // namespace cv

modules/saliency/src/saliency_init.cpp

@@ -52,7 +52,12 @@ CV_INIT_ALGORITHM(
                           reinterpret_cast<SizeGetter>( &StaticSaliencySpectralResidual::getWsize ),
                           reinterpret_cast<SizeSetter>( &StaticSaliencySpectralResidual::setWsize ) ) );
 
-//CV_INIT_ALGORITHM( MotionSaliencySuBSENSE, "SALIENCY.SuBSENSE", );
+CV_INIT_ALGORITHM(
+    MotionSaliencyBinWangApr2014,
+    "SALIENCY.BinWangApr2014",
+    obj.info()->addParam( obj, "imgSize", obj.imgSize, false,
+                          reinterpret_cast<SizeGetter>( &MotionSaliencyBinWangApr2014::getWsize ),
+                          reinterpret_cast<SizeSetter>( &MotionSaliencyBinWangApr2014::setWsize ) ) );
 
 CV_INIT_ALGORITHM(
     ObjectnessBING, "SALIENCY.BING",
@@ -62,7 +67,7 @@ bool initModule_saliency( void )
 {
   bool all = true;
   all &= !StaticSaliencySpectralResidual_info_auto.name().empty();
-  //all &= !MotionSaliencySuBSENSE_info_auto.name().empty();
+  all &= !MotionSaliencyBinWangApr2014_info_auto.name().empty();
   all &= !ObjectnessBING_info_auto.name().empty();
 
   return all;