I'm new to the image processing, and I'm working on a simple project to recognize people by their clothes color. I'm not sure what the best way is to do that. Since I'm using the Kinect (with Kinect-SDK), it is easy to detect people using the depth stream, and by mapping the depth data to the color data, I can get the color pixels of the people. I tried to build a color histogram for each person to recognize the person color. I'm not sure if this right or not! What I'm doing is: 1- Get the depth data from the Kinect device. 2- Ensure if a pixel is a player pixel or not by using the Player Index. 3- Map player pixels to color pixels. 4- Build a color histogram for the player.
I have a problem dealing with step 4. This is how I'm trying to build the histogram (32 bins):
color = ColorPixelData[colorPixelIndex];
B_Values[color / 8]++;
color = ColorPixelData[colorPixelIndex + 1];
G_Values[color / 8]++;
color = ColorPixelData[colorPixelIndex + 2];
R_Values[color / 8]++;
I think I'm doing it in a wrong way. The colors values look very different every time I run the program on the same scene.
Could anyone give me some points? Any help will be appreciated.