#!./bin/python

import numpy as np
import cv2

#640 x 426
cap = cv2.VideoCapture('notepad.mov')

# take first frame of the video
ret,frame = cap.read()

# setup initial location of window
r,h,c,w = 250,90,400,125  # simply hardcoded the values
track_window = (c,r,w,h)

# set up the ROI for tracking
roi = frame[r:r+h, c:c+w]
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)

# Setup the termination criteria, either 10 iteration or move by atleast 1 pt
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)

        # apply meanshift to get the new location
        ret, track_window = cv2.meanShift(dst, track_window, term_crit)

        # Draw it on 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()
@@ -78,21 +78,9 @@
 ure(
-'notepad.mov'
+0
 )%0A%0A#
@@ -1064,22 +1064,16 @@
 dow%0A
- 
+%0A
        
-img2 =
  cv2
@@ -1139,18 +1139,20 @@
 ow('
-img2',img2
+frame',frame
 )%0A%0A 
@@ -1226,66 +1226,8 @@
 reak
-%0A        else:%0A            cv2.imwrite(chr(k)+%22.jpg%22,img2)
 %0A%0A  
@@ -1273,16 +1273,16 @@
 ndows()%0A
-
 cap.rele
@@ -1286,8 +1286,9 @@
 elease()
+%0A

update image tracking