Object Recognition Using Hog Features

Question

Hi I'm going to recognize objects on my images

Before creating a dataset to train with svm I just cropped single part of my image computed hog descriptors put them into svmdetector and then tried to find it using multiscale detection on my original image.

however detection points out center of my image. I am not sure if I'm doing something wrong with hog detection or I just mark wrong place.

this is my image

this is cropped part of it

and this is the result

and my code is below.

#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/core/core.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include <math.h>
#include <iostream>
#include <stdio.h>
#include <dirent.h>

using namespace std;
using namespace cv;

int main()
{
Mat img2 = imread("part.jpg");
Mat img3 = imread("full.jpg");
    HOGDescriptor d2( Size(img2.rows,img2.cols), Size(8,8), Size(4,4), Size(4,4), 9);
    HOGDescriptor d3;
    vector< float> descriptorsValues2,descriptorsValues3;
    vector< Point> locations2,locations3;
    d2.compute( img2, descriptorsValues2, Size(0,0), Size(0,0), locations2);
    d2.setSVMDetector(descriptorsValues2);
    vector< Rect> found,found_filtered;
    d2.detectMultiScale(img3, found, 0, Size(0,0), Size(0,0), 1.05, 2);

size_t i, j;
    for (i=0; i<found.size(); i++)
    {
        Rect r = found[i];
        for (j=0; j<found.size(); j++)
            if (j!=i && (r & found[j])==r)
                break;
        if (j==found.size())
            found_filtered.push_back(r);
    }

    for (i=0; i<found_filtered.size(); i++)
    {
        Rect r = found_filtered[i];
        r.x += cvRound(r.width*0.1);
        r.width = cvRound(r.width*0.8);
        r.y += cvRound(r.height*0.06);
        r.height = cvRound(r.height*0.9);
        rectangle(img3, r.tl(), r.br(), cv::Scalar(0,255,0), 2);
    }

    imshow("video capture", img3);
    waitKey(0);
    return 0;
}

thank you.