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DPAdaptiveMedianBGS.cpp
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DPAdaptiveMedianBGS.cpp
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/*
This file is part of BGSLibrary.
BGSLibrary 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 3 of the License, or
(at your option) any later version.
BGSLibrary 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 BGSLibrary. If not, see <http://www.gnu.org/licenses/>.
*/
/* Modified by Ivan Pozdnyakov
*
* The code modification makes sure the background model is saved in img_bgmodel and is useable
* by the caller of process. Also the expected location of DPAdaptiveMedianBGS.xml has been changed
* to be the local directory instead of BGS library folder.
*
*/
#include "DPAdaptiveMedianBGS.h"
DPAdaptiveMedianBGS::DPAdaptiveMedianBGS() : firstTime(true), frameNumber(0), threshold(40), samplingRate(7), learningFrames(30), showOutput(true)
{
std::cout << "DPAdaptiveMedianBGS()" << std::endl;
}
DPAdaptiveMedianBGS::~DPAdaptiveMedianBGS()
{
std::cout << "~DPAdaptiveMedianBGS()" << std::endl;
}
void DPAdaptiveMedianBGS::process(const cv::Mat &img_input, cv::Mat &img_output, cv::Mat &img_bgmodel)
{
if(img_input.empty())
return;
loadConfig();
if(firstTime)
saveConfig();
frame = new IplImage(img_input);
if(firstTime)
frame_data.ReleaseMemory(false);
frame_data = frame;
if(firstTime)
{
int width = img_input.size().width;
int height = img_input.size().height;
lowThresholdMask = cvCreateImage(cvSize(width, height), IPL_DEPTH_8U, 1);
lowThresholdMask.Ptr()->origin = IPL_ORIGIN_BL;
highThresholdMask = cvCreateImage(cvSize(width, height), IPL_DEPTH_8U, 1);
highThresholdMask.Ptr()->origin = IPL_ORIGIN_BL;
params.SetFrameSize(width, height);
params.LowThreshold() = threshold;
params.HighThreshold() = 2*params.LowThreshold(); // Note: high threshold is used by post-processing
params.SamplingRate() = samplingRate;
params.LearningFrames() = 2000;
bgs.Initalize(params);
bgs.InitModel(frame_data);
}
bgs.Subtract(frameNumber, frame_data, lowThresholdMask, highThresholdMask);
if(frameNumber < params.LearningFrames())
lowThresholdMask.Clear();
bgs.Update(frameNumber, frame_data, lowThresholdMask);
curMedian = bgs.Background();
cv::Mat foreground(highThresholdMask.Ptr());
cv::Mat background(curMedian->Ptr());
foreground.copyTo(img_output);
background.copyTo(img_bgmodel);
delete frame;
firstTime = false;
frameNumber++;
}
void DPAdaptiveMedianBGS::saveConfig()
{
CvFileStorage* fs = cvOpenFileStorage("DPAdaptiveMedianBGS.xml", 0, CV_STORAGE_WRITE);
cvWriteInt(fs, "threshold", threshold);
cvWriteInt(fs, "samplingRate", samplingRate);
cvWriteInt(fs, "learningFrames", learningFrames);
cvWriteInt(fs, "showOutput", showOutput);
cvReleaseFileStorage(&fs);
}
void DPAdaptiveMedianBGS::loadConfig()
{
CvFileStorage* fs = cvOpenFileStorage("DPAdaptiveMedianBGS.xml", 0, CV_STORAGE_READ);
threshold = cvReadIntByName(fs, 0, "threshold", 40);
samplingRate = cvReadIntByName(fs, 0, "samplingRate", 7);
learningFrames = cvReadIntByName(fs, 0, "learningFrames", 30);
showOutput = cvReadIntByName(fs, 0, "showOutput", true);
cvReleaseFileStorage(&fs);
}