Background modeling using univariate Gaussian density function.
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I need to expose background model from 10 consequtive frames, not a video. Also, I need to display both mean and standard deviation images. I got stuck because I could not find any similar project for reference. Thanks in advance.
回答（1 个）
yanqi liu
2021-12-24
yes，sir，may be use createBackgroundSubtractorMOG2，such as
import cv2 as cv
import numpy as np
vid = cv.VideoCapture("D:/Program Files/Polyspace/R2019a/toolbox/images/imdata/traffic.avi")
mog = cv.createBackgroundSubtractorMOG2()
se = cv.getStructuringElement(cv.MORPH_RECT, (3, 3))
while True:
ret, imi = vid.read()
if ret is True:
fm = mog.apply(imi)
ret, bw = cv.threshold(fm, 220, 255, cv.THRESH_BINARY)
bw = cv.morphologyEx(bw, cv.MORPH_OPEN, se)
bg = mog.getBackgroundImage()
cv.imshow("left_bg&right_frame",np.concatenate((bg, imi), axis=1))
c = cv.waitKey(50)
else:
break
cv.destroyAllWindows()
2 个评论
Burak Karakus
2021-12-24
编辑：Burak Karakus
2021-12-24
yanqi liu
2021-12-27
yes，sir，may be upload your video file to make some analysis. this is use python opencv method to process
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2021-12-23
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