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Vista-core-API/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); | |
} | |