Background modeling using univariate Gaussian density function.

4 次查看(过去 30 天)
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
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
Burak Karakus 2021-12-24
编辑:Burak Karakus 2021-12-24
Sir, how could I modify this for consecutive frames as input? Should I use a for loop with createBackgroundSubtractorMOG2 instructor? I want to evaluate density value of each pixel using mean and standard deviation parameters via Gaussian density function? Thank you for your interest.
yanqi liu
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

请先登录,再进行评论。

类别

Help CenterFile Exchange 中查找有关 Convert Image Type 的更多信息

产品


版本

R2018a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by