silhouette extraction python
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I want to perform gait biometric. To this end, in the first step, I want to extract silhouette of a video file to construct GEI. I have used a based code in this link: https://docs.opencv.org/3.4/db/d5c/tutorial_py_bg_subtraction.html
My code is as follows:
import numpy as np
import cv2
cap = cv2.VideoCapture('01.avi')
fgbg=cv2.createBackgroundSubtractorKNN(detectShadows=False)
while(1):
ret, frame = cap.read()
fgmask = fgbg.apply(frame)
cv2.imshow('frame',fgmask)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
but the output is not proper. A sample output is below:
!(https://i.imgur.com/TTHjlVm.jpg)
there is a big hole in the middle of body (a big black region inside the detected person). In addition, there is some noise in the image.
Actually, I want an output image like the following link :
!(https://3c1703fe8d.site.internapcdn.net/newman/gfx/news/hires/2012/trackingpeop.jpg)
How can I do it? I read some papers, but I can't get what I want.
If you know a better way to do this in Python, please tell me!
python biometrics silhouette
asked Nov 10 at 4:02
jalal mousavi rad
1
add a comment |
up vote
-1
down vote
favorite
I want to perform gait biometric. To this end, in the first step, I want to extract silhouette of a video file to construct GEI. I have used a based code in this link: https://docs.opencv.org/3.4/db/d5c/tutorial_py_bg_subtraction.html
My code is as follows:
import numpy as np
import cv2
cap = cv2.VideoCapture('01.avi')
fgbg=cv2.createBackgroundSubtractorKNN(detectShadows=False)
while(1):
ret, frame = cap.read()
fgmask = fgbg.apply(frame)
cv2.imshow('frame',fgmask)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
but the output is not proper. A sample output is below:
!(https://i.imgur.com/TTHjlVm.jpg)
there is a big hole in the middle of body (a big black region inside the detected person). In addition, there is some noise in the image.
Actually, I want an output image like the following link :
!(https://3c1703fe8d.site.internapcdn.net/newman/gfx/news/hires/2012/trackingpeop.jpg)
How can I do it? I read some papers, but I can't get what I want.
If you know a better way to do this in Python, please tell me!
python biometrics silhouette
asked Nov 10 at 4:02
jalal mousavi rad
1
add a comment |
up vote
-1
down vote
favorite
up vote
-1
down vote
favorite
I want to perform gait biometric. To this end, in the first step, I want to extract silhouette of a video file to construct GEI. I have used a based code in this link: https://docs.opencv.org/3.4/db/d5c/tutorial_py_bg_subtraction.html
My code is as follows:
import numpy as np
import cv2
cap = cv2.VideoCapture('01.avi')
fgbg=cv2.createBackgroundSubtractorKNN(detectShadows=False)
while(1):
ret, frame = cap.read()
fgmask = fgbg.apply(frame)
cv2.imshow('frame',fgmask)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
but the output is not proper. A sample output is below:
!(https://i.imgur.com/TTHjlVm.jpg)
there is a big hole in the middle of body (a big black region inside the detected person). In addition, there is some noise in the image.
Actually, I want an output image like the following link :
!(https://3c1703fe8d.site.internapcdn.net/newman/gfx/news/hires/2012/trackingpeop.jpg)
How can I do it? I read some papers, but I can't get what I want.
If you know a better way to do this in Python, please tell me!
python biometrics silhouette
asked Nov 10 at 4:02
jalal mousavi rad
1
I want to perform gait biometric. To this end, in the first step, I want to extract silhouette of a video file to construct GEI. I have used a based code in this link: https://docs.opencv.org/3.4/db/d5c/tutorial_py_bg_subtraction.html
My code is as follows:
import numpy as np
import cv2
cap = cv2.VideoCapture('01.avi')
fgbg=cv2.createBackgroundSubtractorKNN(detectShadows=False)
while(1):
ret, frame = cap.read()
fgmask = fgbg.apply(frame)
cv2.imshow('frame',fgmask)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
but the output is not proper. A sample output is below:
!(https://i.imgur.com/TTHjlVm.jpg)
there is a big hole in the middle of body (a big black region inside the detected person). In addition, there is some noise in the image.
Actually, I want an output image like the following link :
!(https://3c1703fe8d.site.internapcdn.net/newman/gfx/news/hires/2012/trackingpeop.jpg)
How can I do it? I read some papers, but I can't get what I want.
If you know a better way to do this in Python, please tell me!
python biometrics silhouette
python biometrics silhouette
asked Nov 10 at 4:02
jalal mousavi rad
1
asked Nov 10 at 4:02
jalal mousavi rad
1
asked Nov 10 at 4:02
jalal mousavi rad
1
asked Nov 10 at 4:02
jalal mousavi rad
1
asked Nov 10 at 4:02
jalal mousavi rad
1
1
add a comment |
add a comment |
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