OpenCV - eye tracking of webcam video

gistfile1.txt

import numpy as np
import cv2
import time

cap = cv2.VideoCapture(0)       #640,480
w = 640
h = 480

while(cap.isOpened()):
    ret, frame = cap.read()
    if ret==True:

        #detect face
        faces = cv2.CascadeClassifier('haarcascade_eye.xml')
        detected = faces.detectMultiScale(frame, 1.3, 5)

        #draw square
        for (x,y,w,h) in detected:
                cv2.rectangle(frame, (x,y), ((x+w),(y+h)), (0,0,255),1)
                cv2.line(frame, (x,y), ((x+w,y+h)), (0,0,255),1)
                cv2.line(frame, (x+w,y), ((x,y+h)), (0,0,255),1)
                #cv2.rectangle(frame, (x,y),((x+40),(y+40)),(0,0,255),1)        


        #show picture
        cv2.imshow('frame',frame)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    else:
        break

# Release everything if job is finished
cap.release()
cv2.destroyAllWindows()

Hello,

This works ok if there is only one face and no other black objects.
It shows wrong identification for photo or id cards. .....