Hi everyone,
I am currently back projecting in order to find my hands in a video feed however the current solution is too lighting dependent. I am currently converting to HSV and sampling an ROI ( I cover the camera with my hand at this point). Then I use this histogram to backproject as shown. If I pose my fingers down to create a shadow on my hand this loses accuracy, and as you can see the background has a lot of false positives. Can anyone give me some advice on how to improve this?
Thanks.
//0,1 means use H and S channels in backproj
int channels[] {0, 1};
//Bins are the number of bars in the histogram that a value can fall into
int histSize[] = { h_bins, s_bins };
float hue_range[] = {0, 180};
float sat_range[] = {0, 255};
const float* ranges[] = { hue_range, sat_range };
if (sampleHand){
//Uncomment to blur
/*cv::Size *mySize = new cv::Size(15,15);
GaussianBlur(hsv, hsv, *mySize, 5, 5);*/
Mat roi;
getRectSubPix(hsv, *new cv::Size(50,50), *new cv::Point(hsv.cols/2, hsv.rows/2), roi);
calcHist(&roi, 1, channels, Mat(), skinShadeHist, 2, histSize, ranges, true, false);
normalize(skinShadeHist, skinShadeHist, 0, 255, NORM_MINMAX, -1, Mat());
samplesExist = true; sampleHand = false;
} else if (samplesExist){
MatND backproj;
//Calculate the 'confidence' of a pixel being skin
calcBackProject(&hsv, 1, channels, skinShadeHist, backproj, ranges, 1, true);
return backproj;
}
