Mar-22-2017, 05:36 AM
Hello Folks..
I want to track the face in motion. Suppose if i move the face in different directions, then the camera should track that face in that direction and vice versa.
Now this code track faces , if the face is exactly in front of camera. But i want to track faces in motion . How could i do this using optical flow method .. Please help me.
My code is below: detector.py
This code is simple using Cascades method
I want to track the face in motion. Suppose if i move the face in different directions, then the camera should track that face in that direction and vice versa.
Now this code track faces , if the face is exactly in front of camera. But i want to track faces in motion . How could i do this using optical flow method .. Please help me.
My code is below: detector.py
This code is simple using Cascades method
import cv2
import numpy as np
faceDetect=cv2.CascadeClassifier('haarcascade_frontalface_default.xml');
cam=cv2.VideoCapture(0);
rec=cv2.createLBPHFaceRecognizer();
rec.load("recognizer/trainningData.yml")
id=0
font=cv2.cv.InitFont(cv2.cv.CV_FONT_HERSHEY_COMPLEX_SMALL,2,1,0,2)
while(True):
ret,img=cam.read();
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces=faceDetect.detectMultiScale(gray, 1.3,5);
for(x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h), (0,0,255),2)
id,conf=rec.predict(gray[y:y+h,x:x+w])
if(id==1):
id="Aftab Ahmed"
elif (id==2):
id="Ahmed"
cv2.cv.PutText(cv2.cv.fromarray(img),str(id),(x,y+h),font,255);
cv2.imshow("Face", img);
if(cv2.waitKey(1)==ord('q')):
break;
cam.release()
cv2.destroyAllWindows()