How to detect human using findcontours based on the human shape?
hi guys, I wanna ask how to detecting humans or pedestrians on blob (findcontours)? I've try to learn how to detecting any object on the frame using findcontours() like this:
#include"stdafx.h"
#include<vector>
#include<iostream>
#include<opencv2/opencv.hpp>
#include<opencv2/core/core.hpp>
#include<opencv2/imgproc/imgproc.hpp>
#include<opencv2/highgui/highgui.hpp>
int main(int argc, char *argv[])
{
cv::Mat frame;
cv::Mat fg;
cv::Mat blurred;
cv::Mat thresholded;
cv::Mat thresholded2;
cv::Mat result;
cv::Mat bgmodel;
cv::namedWindow("Frame");
cv::namedWindow("Background Model"
//,CV_WINDOW_NORMAL
);
//cv::resizeWindow("Background Model",400,300);
cv::namedWindow("Blob"
//,CV_WINDOW_NORMAL
);
//cv::resizeWindow("Blob",400,300);
cv::VideoCapture cap("campus3.avi");
cv::BackgroundSubtractorMOG2 bgs;
bgs.nmixtures = 3;
bgs.history = 1000;
bgs.varThresholdGen = 15;
bgs.bShadowDetection = true;
bgs.nShadowDetection = 0;
bgs.fTau = 0.5;
std::vector<std::vector<cv::Point>> contours;
for(;;)
{
cap >> frame;
cv::GaussianBlur(frame,blurred,cv::Size(3,3),0,0,cv::BORDER_DEFAULT);
bgs.operator()(blurred,fg);
bgs.getBackgroundImage(bgmodel);
cv::threshold(fg,thresholded,70.0f,255,CV_THRESH_BINARY);
cv::threshold(fg,thresholded2,70.0f,255,CV_THRESH_BINARY);
cv::Mat elementCLOSE(5,5,CV_8U,cv::Scalar(1));
cv::morphologyEx(thresholded,thresholded,cv::MORPH_CLOSE,elementCLOSE);
cv::morphologyEx(thresholded2,thresholded2,cv::MORPH_CLOSE,elementCLOSE);
cv::findContours(thresholded,contours,CV_RETR_CCOMP,CV_CHAIN_APPROX_SIMPLE);
cv::cvtColor(thresholded2,result,CV_GRAY2RGB);
int cmin = 50;
int cmax = 1000;
std::vector<std::vector<cv::Point>>::iterator itc=contours.begin();
while (itc!=contours.end()) {
if (itc->size() > cmin && itc->size() < cmax){
std::vector<cv::Point> pts = *itc;
cv::Mat pointsMatrix = cv::Mat(pts);
cv::Scalar color( 0, 255, 0 );
cv::Rect r0= cv::boundingRect(pointsMatrix);
cv::rectangle(frame,r0,color,2);
++itc;
}else{++itc;}
}
cv::imshow("Frame",frame);
cv::imshow("Background Model",bgmodel);
cv::imshow("Blob",result);
if(cv::waitKey(30) >= 0) break;
}
return 0;
}
and now I wanna know how to detect humans? am I need to use hog? or haar? if yes I need to use them, how to use them? any tutorials to learn how to use it? because I'm so curious! and it's so much fun when I learn OpenCV! so addictive! :))
anyway I'll appreciate any help here, thanks. :)