I am using C++ and Opencv 2.3.1 for background subtraction. I have tried many times to change the parameters of Mog2 in order to disable shadow detection feature also i have tried what other people suggest on the internet. however, the shadow detection still enabled.
could you please tell me how to disable it? see the sample code and the generated mask.
//opencv
#include < opencv2/opencv.hpp>
#include < opencv2/core/core.hpp>
#include < opencv2/highgui/highgui.hpp>
#include < opencv2/video/background_segm.hpp>
#include < opencv2/imgproc/imgproc.hpp>
#include < opencv2/video/video.hpp>
//C
#include <stdio.h>
//C++
#include <iostream>
#include <sstream>
using namespace cv;
using namespace std;
// Global variables
Mat frame; //current frame
Mat fgMaskMOG2; //fg mask fg mask generated by MOG method
Ptr<BackgroundSubtractor> pMOG2; //MOG Background subtractor
int keyboard; //input from keyboard
//new variables
int history = 1250;
float varThreshold = 16;
bool bShadowDetection = true;
/*
//added to remove the shadow
unsigned char nShadowDetection = 0;
float fTau = 0.5;
//static const unsigned char nShadowDetection =( unsigned char)0;
*/
// Function Headers
void help();
void processImages(char* firstFrameFilename);
void help()
{
cout
<< "This program shows how to use background subtraction methods provided by " << endl
<< " OpenCV. You can process images (-img)." << endl
<< "Usage:" << endl
<< "./bs -img <image filename>}" << endl
<< "for example: ./bs -img /data/images/1.png" << endl
<< endl;
}
// morphological operation
void morphOps(Mat &thresh){
//create structuring element that will be used to "dilate" and "erode" image.
//the element chosen here is a 3px by 3px rectangle
Mat erodeElement = getStructuringElement( MORPH_RECT,Size(2,2)); //3x3
//dilate with larger element so make sure object is nicely visible
Mat dilateElement = getStructuringElement( MORPH_RECT,Size(1,1)); //8x8
erode(thresh,thresh,erodeElement);
erode(thresh,thresh,erodeElement);
dilate(thresh,thresh,dilateElement);
dilate(thresh,thresh,dilateElement);
}
// main function
int main(int argc, char* argv[])
{
//print help information
help();
//check for the input parameter correctness
if(argc != 3) {
cerr <<"Incorret input list" << endl;
cerr <<"exiting..." << endl;
return EXIT_FAILURE;
}
//create GUI windows
namedWindow("Frame");
namedWindow("FG Mask MOG2 ");
//create Background Subtractor objects
//pMOG2 = new BackgroundSubtractorMOG2();
pMOG2 = new BackgroundSubtractorMOG2( history, varThreshold, bShadowDetection);
//BackgroundSubtractorMOG2(int history, float varThreshold, bool bShadowDetection=1);
if(strcmp(argv[1], "-img") == 0) {
//input data coming from a sequence of images
processImages(argv[2]);
}
else {
//error in reading input parameters
cerr <<"Please, check the input parameters." << endl;
cerr <<"Exiting..." << endl;
return EXIT_FAILURE;
}
//destroy GUI windows
destroyAllWindows();
return EXIT_SUCCESS;
}
//function processImages
void processImages(char* fistFrameFilename) {
//read the first file of the sequence
frame = imread(fistFrameFilename);
if(frame.empty()){
//error in opening the first image
cerr << "Unable to open first image frame: " << fistFrameFilename << endl;
exit(EXIT_FAILURE);
//current image filename
string fn(fistFrameFilename);
//read input data. ESC or 'q' for quitting
while( (char)keyboard != 'q' && (char)keyboard != 27 ){
//update the background model
pMOG2->operator()(frame, fgMaskMOG2,-1);
//get the frame number and write it on the current frame
size_t index = fn.find_last_of("/");
if(index == string::npos) {
index = fn.find_last_of("\\");
}
size_t index2 = fn.find_last_of(".");
string prefix = fn.substr(0,index+1);
string suffix = fn.substr(index2);
string frameNumberString = fn.substr(index+1, index2-index-1);
istringstream iss(frameNumberString);
int frameNumber = 0;
iss >> frameNumber;
rectangle(frame, cv::Point(10, 2), cv::Point(100,20),
cv::Scalar(255,255,255), -1);
putText(frame, frameNumberString.c_str(), cv::Point(15, 15),
FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
//show the current frame and the fg masks
imshow("Frame", frame);
morphOps(fgMaskMOG2);
imshow("FG Mask MOG2 ", fgMaskMOG2);
//get the input from the keyboard
keyboard = waitKey(1);
//search for the next image in the sequence
ostringstream oss;
oss << (frameNumber + 1);
string nextFrameNumberString = oss.str();
string nextFrameFilename = prefix + nextFrameNumberString + suffix;
//read the next frame
frame = imread(nextFrameFilename);
if(frame.empty()){
//error in opening the next image in the sequence
cerr << "Unable to open image frame: " << nextFrameFilename << endl;
exit(EXIT_FAILURE);
}
//update the path of the current frame
fn.assign(nextFrameFilename);
// save subtracted images
string imageToSave =("output_MOG_" + frameNumberString + ".png");
bool saved = imwrite( "D:\\SO\\temp\\" +imageToSave,fgMaskMOG2);
if(!saved) {
cerr << "Unable to save " << imageToSave << endl;
}
}
}
it depends on what you really want to see - if you want to separate the shadows from your segmentation:
bool bShadowDetection = true;
and usecv::threshold(Mask,Mask,254,255,cv::THRESH_BINARY);
afterMOG2->apply()
you'll get exactly the part of wich is
{255}
in your imageand sry for reanimating this...