I am new to computer vision and I am trying to use haar cascade for face
detection and kalman filtering for tracking I intend to run the code on
raspberry pi 3B. Hence cannot use any deep learning methods for tracking. How
can I use cv2.kalmanfilter()
(https://docs.opencv.org/trunk/dd/d6a/classcv_1_1KalmanFilter.html) in my code
to do the tracking and draw a line for the traversal path? It would be great
help if any one can guide me for it
My code is :
from __future__ import print_function
import numpy as np
import cv2
from imutils.video import WebcamVideoStream
from imutils.video import FPS
import argparse
import imutils
import cv2
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
#faceCascade = cv2.CascadeClassifier('haarcascade_profileface.xml')
fps = FPS().start()
cap = cv2.VideoCapture(0)
cap.set(3,640) # set Width
cap.set(4,480) # set Height
while True:
ret, img = cap.read()
#img = cv2.flip(img, -1)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.2,
minNeighbors=5,
minSize=(20, 20)
)
for (x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
cv2.imshow('video',img)
fps.update()
k = cv2.waitKey(30) & 0xff
if k == 27: # press 'ESC' to quit
break
fps.stop()
print("[INFO] approx. FPS: {:.2f}".format(fps.fps()))
cap.release()
cv2.destroyAllWindows()
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