A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a...
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![Page 1: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/1.jpg)
A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera
Mookyung Park, Namsu Moon, Sangrim Ryu, Jeongpyo Kong, Yongjin Lee and Wangjin Mun
S1 Corporation, Korea
![Page 2: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/2.jpg)
Customer site
Alarm signal
Centralized control office
Instruction
Visit
Security agent
Cost ∝ Number of visits
Security Service Flow
![Page 3: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/3.jpg)
PIR sensor ( Passive Infra-Red )
False alarm Cost Cost ↑↑
Lacks intelligence
More IntelligenceVision sensor + Image processing
Stereo : expensive
Single : cost-effective
useful feature for discriminating objectsObject size
This talk is on a method of how to calculate the size of objects in an image captured from a single camera
Single : cost-effective
Objectives
![Page 4: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/4.jpg)
< Surveillance space >
Object
< Image >
A AB C
B
C
< Surveillance space >
Object
< Image >
A AB C
B
C
Proper weight of pixel Real size of objects
Objects in the images
![Page 5: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/5.jpg)
< Surveillance space >< Surveillance space >< Surveillance space >< Surveillance space > < Image >
pixel(x,y)
Hx,y
Hx,y-1
Vy
trapezoid
1,,, 2
1 yxyxyyx HHVA
Overview of Calculation
![Page 6: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/6.jpg)
The object is standing perpendicularly to the ground and is not floating in the air.
1st.
The camera is installed at high location looking down objects like humans.
2nd.
3rd
.The camera kept in a horizontal position, not tilting to the right of the left.
The effect of radial distortion of lens does not appear in the image.
4th.
Assumptions
![Page 7: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/7.jpg)
he
Blind zone
AB
AV
AV
H
1 2 3 HH-1
< Side view of the surveillance space >
he
Blind zone angle
Blind zone
AB
AV
AV
H
W1 2 3 HH-1
H
123
H-1H
Vertical pixel number
< Image >
< Side view of the surveillance space >
Blind zone
< Top view of the surveillance space >
Blind zone
< Top view of the surveillance space >
AH AH
W
1 2 3 W2
2 1W2
1 2 3W2
12W2
Even symmetryEven symmetry
Horizontal pixel number
Blind zone
< Top view of the surveillance space >
AH AH
W
1 2 3 W2
2 1W2
Camera lensHorizontal angle of view AH
Vertical angle of view AV
InstallationBlind zone angle AB
Height of Installation he
Image sizeHorizontal pixel number W
Vertical pixel number H
< Parameters >< Parameters >Height of Installation
Vertical angle of view
Horizontal angle of view
Parameters Required
![Page 8: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/8.jpg)
AAx,yx,y = = ××VVyy × ( × ( HHx,y x,y + H+ Hx,yx,y--11 )
AV
H
AV
HXy
θy
< Image >
H
12
H
W
he
AB
AV
1bottomyd
yd
vy1 yyy LLV yyyy bottom
ddL tan1 y
ey
hd
tan
yH
AA VBy 90
Ly-1
Ly
1 yyy LLV
yyyy bottomddL tan1
y
ey
hd
tan
yH
AA VBy 90
ybottom
Cy
y
bottomy1bottomy θyθy
190tan
90tan190tan
bottomV
B
VB
VB
ey
yH
AA
yHA
AyHA
A
hV
1122
![Page 9: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/9.jpg)
AAx,yx,y = = ××VVyy × (× ( HHx,yx,y ++ HHx,yx,y--11 )1122
Cy
y
yey
LhC
sin
y
yey
LhC
sin
θy
he
Ly
Cy
Cy
CyCy CyCy
< Image >
Pixel (x,y)
Dx-1,y
Dx,y
Hx,y
Hx,y-1
Vy
yxyxyx DDH ,1,,
xW
ACD Hyyx tan,
AH
W
AH
2
Cy
yxyxyx DDH ,1,,
xW
ACD Hyyx tan,
y
yey
LhC
sin
y
HHye
yx
xWA
xWA
h
H bottomy
sin
1tantantan
tan
1
,
![Page 10: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/10.jpg)
kH
AAwhere
xWA
xWA
h
xWA
xWA
h
hA
VBk
y
HHye
y
HHye
yyeyx
bottomy
bottomy
bottomy
90,
sin
1tantantan
tan
sin
1tantantan
tan
tan
tantan
2
1
1
1
1,
1
1
1
Final Formula Representing the Weight
![Page 11: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/11.jpg)
• Experimental set-up
Experimental Verification
Referenceimage
Currentimage
Difference Binarization
Noise FilterLabeling
Weighting
![Page 12: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/12.jpg)
Experimental Results (1)
a
b
c
d
e
b 3 156 5574
c 4 108 5454
d 5 78 5306
e 6 62 5821
a 2 234 5241
Distance Pixels Weight sum
• For the same object
with different locations
![Page 13: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/13.jpg)
• For objects of different sizes
Experimental Results (2)
Smallanimal
HumanSmall
animalHuman
a 88 88 2628 5761
Pixels Weight sum
b 56 186 2144 5682
c 35 339 2243 5919
a
b
c
Human
Small animal
![Page 14: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/14.jpg)
Summary
Operational cost caused by false alarms can be significantly suppressed by adopting intelligent vision-based sensors in our security service business
Considering cost-effectiveness, we proposed a method of calculating the size of the object in the image captured from single camera
The calculation of object size requires parameters which are obtained when installing the vision sensor (camera)
Experimental results show that the proposed method produces a useful feature for distinguishing objects of different sizes
![Page 15: A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera Mookyung Park, Namsu Moon, Sangrim Ryu,](https://reader035.fdocuments.net/reader035/viewer/2022070410/56649eb25503460f94bb8f94/html5/thumbnails/15.jpg)