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Hand detection by skin color matching

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I am trying to detect a hand after face detection. I have managed to detect the face using the following code: img = cv2.imread("test.jpg",1) img_hsv = cv2.cvtColor(img,cv2.COLOR_BGR2HSV) hc1 = cv2.CascadeClassifier("/home/max/haarcascade_frontalface_alt.xml") faces1 = hc1.detectMultiScale(img) for (x,y,w,h) in faces1: cv2.rectangle(img, (x,y), (x+w,y+h), 255) crop_img = img[y+2:y+w, x+2:x+h] I also have an approximate bounding box for the hand (based on depth data). I would now like to detect the hand in that bounding box based on skin color matching ( skin color obtained from face). What would be the best way to do this?

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