maxPixel.py

import numpy as np 
import cv2

cap = cv2.videoCapture(0)
#first frame
ret , frame = cap.read()
#initial location window
r,h,c,w = 250,90,400,125
track_window = (c,r,w,h)

hsv_roi =  cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
mask = cv2.inRange(hsv_roi, np.array((0., 60.,32.)), np.array((180.,255.,255.)))
roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180])
cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)

#termination criteria
term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )
while(1):
	ret,frame = cap.read()

	if ret==True 
		hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
		dst = cv2.calcBackProject([hsv],[0],roi_hist,[0,180],1)
		ret, track_window = cv2.meanShift(dst, track_window, term_crit)

		#Drawing on anothe image 
		x,y,w,h = track_window
        img2 = cv2.rectangle(frame, (x,y), (x+w,y+h), 255,2)
        cv2.imshow('img2',img2)

        k = cv2.waitKey(60) & 0xff
        if k == 27:
            break
        else:
            cv2.imwrite(chr(k)+".jpg",img2)
    
    else:
    	break

cv2.destroyAllWindows()
cap.release()