我正在尝试使用我的网络摄像头制作一个运动检测程序,但在阈值化帧差时得到了奇怪的结果:
当我移动时:(似乎还好吧) ![enter image description here][1]
当我没有移动时: ![enter image description here][2]
这可能是什么原因呢?我已经运行了几个程序,这些程序确切地使用了相同的算法,阈值化也运行良好。
以下是我的代码:
感谢您的提前帮助! [1]: http://i.stack.imgur.com/hslOs.png [2]: http://i.stack.imgur.com/7fB95.png
当我移动时:(似乎还好吧) ![enter image description here][1]
当我没有移动时: ![enter image description here][2]
这可能是什么原因呢?我已经运行了几个程序,这些程序确切地使用了相同的算法,阈值化也运行良好。
以下是我的代码:
import cv2
import random
import numpy as np
# Create windows to show the captured images
cv2.namedWindow("window_a", cv2.CV_WINDOW_AUTOSIZE)
cv2.namedWindow("window_b", cv2.CV_WINDOW_AUTOSIZE)
# Structuring element
es = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (9,4))
## Webcam Settings
capture = cv2.VideoCapture(0)
#dimensions
frameWidth = capture.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)
frameHeight = capture.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)
while True:
# Capture a frame
flag,frame = capture.read()
current = cv2.blur(frame, (5,5))
difference = cv2.absdiff(current, previous) #difference is taken of the current frame and the previous frame
frame2 = cv2.cvtColor(difference, cv2.cv.CV_RGB2GRAY)
retval,thresh = cv2.threshold(frame2, 10, 0xff, cv2.THRESH_OTSU)
dilated1 = cv2.dilate(thresh, es)
dilated2 = cv2.dilate(dilated1, es)
dilated3 = cv2.dilate(dilated2, es)
dilated4 = cv2.dilate(dilated3, es)
cv2.imshow('window_a', dilated4)
cv2.imshow('window_b', frame)
previous = current
key = cv2.waitKey(10) #20
if key == 27: #exit on ESC
cv2.destroyAllWindows()
break
感谢您的提前帮助! [1]: http://i.stack.imgur.com/hslOs.png [2]: http://i.stack.imgur.com/7fB95.png