I am making a project where I want to re-identify person based on their soft features like cloth color. So I want to get the HSV and RGB histogram of their images and compare it later to check if it is the same person.
Code i made so far:
//This is small part of the project
float[] hueHists=new float[255];
float[] satHists = new float[255];
DenseHistogram dh = new DenseHistogram(255, new RangeF(0, 255));
DenseHistogram dh2 = new DenseHistogram(255,new RangeF(0, 255));
Image<Hsv, byte> hsvImage = image.Convert<Hsv, byte>();
for (int i = 0; i < 8; i++)
{
hsvImage.ROI = new Rectangle(0, i * 16, 64, 16);
Image<Gray, byte>[] channels = hsvImage.Copy().Split();
Image<Gray, byte> hue = channels[0];
Image<Gray, byte> sat = channels[1];
dh.Calculate<byte>(new Image<Gray, byte>[] { hue }, true, null);
dh2.Calculate<byte>(new Image<Gray, byte>[] { sat }, true, null);
float[] huehist = dh.GetBinValues();
float[] sathist = dh2.GetBinValues();
if(i==0)
{
huehist.CopyTo(hueHists,0);
sathist.CopyTo(satHists,0);
}
else
{
hueHists = hueHists.Concat<float>(huehist).ToArray<float>();
satHists = satHists.Concat<float>(sathist).ToArray<float>();
}
}
And also should I extract HSV and RGB histogram of complete image or extract after segmentation of image.
[Edit] I have extracted the histogram of a personA and matched it against other people's histogram (to check if he/she is personA or not). Problem the problem is with accuracy. my program can not correctly find same person. And I want to ask the better way to do it...
Help from opencv person is also appreciated
Thanks in advance.