Question

我必须跟踪视频中的窗口并需要在窗口上粘贴图像，我已经使用camshift跟踪窗口，但它没有正确跟踪它。我的窗口是棕色的，所以我给了以下颜色范围。 np.array（（110,0,0） - 低级 np.array（（130255255） - 更高..

我在opencv中有很多文件但是无法弄清楚要使用哪种方法。我正在使用opencv2.4.9和python。

下面是我试过的代码。请帮我弄清楚窗口的确切位置。强调文字

#!/usr/bin/env python

import numpy as np
import cv2

cap = cv2.VideoCapture("myvideo.mp4")
# take first frame of the video
ret,frame = cap.read()
#print frame
#print ret
# setup initial location of window
r,h,c,w = 157,40,337,40 
track_window = (c,r,w,h)

# set up the ROI for tracking
roi = frame[r:r+h, c:c+w]
hsv_roi =  cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
mask = cv2.inRange(hsv_roi, np.array((110,0,0)), np.array((130,255,255)))

roi_hist = cv2.calcHist([hsv_roi],[0],mask,[255],[0,255])
cv2.imshow('img2',roi_hist)

#print roi_hist

cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)

# Setup the termination criteria, either 10 iteration or move by at least 1 pt
term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )
i = 1
while(1):
    ret ,frame = cap.read()
    if ret == True:
        i += 1
        hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
        dst = cv2.calcBackProject([hsv],[0],roi_hist,[0,255],1)

            # apply meanshift to get the new location
        ret, track_window = cv2.CamShift(dst, track_window, term_crit)
        #print track_window
        # 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',frame)

        k = cv2.waitKey(200) & 0xff
        if k == 27:            
            break
        else:
          #  print "comes here2";
            cv2.imwrite(str(i)+"test.jpg",frame)
            #break

    else:
        break

cv2.destroyAllWindows()
cap.release()

跟踪视频中的图像并使用opencv替换为另一个图像

0 个答案: