The Quantitative Assessment System of
Animal Behavior based on Image
Technology (Part 2)
以影像技術為基礎之動物行為量化評估系統
(Part2)
Presenter: Min-Ji Jan
Adviser: Dr. Pei-Jarn Chen
Date: 2010/11/24
2017/7/31
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Papers Review(1)
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Zhi-Wei Chou, “The Study of Animal Mutual Behavior Using
Embedded System”, I-Shou University.
System diagram
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Papers Review(1)
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Experimental apparatus:
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CCD camera
FPGA: ALTERA FLEX1K100QC208
SDARM: Micron MT48LC32M8A2
video A/D converter(ADC): NXP SAA7113H
video D/A converter (DAC): NXP SAA7121H
MCU: ATMEL ATMEGA8515L
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Papers Review(1)
start
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Flow chart:
Video file
Frame
Scanning
1、Line Scan
Object detection
Image file
2、Determine end of
line scan
Threshold
Object Detection
Determine end of
frame
End
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Papers Review(1)
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Results
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Papers Review(2)
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Yuan-Hsing Shih , Ming-Shing Young ,“Integrated digital
image and accelerometer measurements of rat locomotor and
vibratory behaviour”, Journal of Neuroscience Methods.,166
(2007) 81–88.
Block diagram of the measurement system
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Papers Review(2)
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Experimental apparatus:
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Experimental cage: 45cm × 45cm × 40cm.
Video camera: Samsung 510×492/EIA-pixel 380Tvline CCD image sensor.
Capture card: PV147, Provideo Inc.
Accelerometer: ADXL202JE
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Papers Review(2)
Results of image processing.
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Papers Review(3)
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Yojiro Sakiyama , Tetsujo Sujaku, Akihiro Furuta, “A novel
automated method for measuring the effect of analgesics on
formalin-evoked licking behavior in rats”, Journal of
Neuroscience Methods, 167 (2008) 167–175.
2017/7/31
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Papers Review(3)
2017/7/31
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Papers Review(3)
2017/7/31
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Papers Review(4)
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HuanWang, Robert J. Spinner, EricJ. Sorenson, Anthony
J.Windebank, “Measurement of forelimb function by digital
video motion analysis in rat nerve transection models”, Journal
of the Peripheral Nervous System, 13:92–102 (2008).
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A permanent marker was tattooed at five bony landmarks
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the distal third of the ulna.
the ulnar head.
the fifth metacarpal base.
the MP joint.
the proximal interphalangeal joint
MP(metacarpophalangeal):掌骨指骨
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Papers Review(4)
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Experimental apparatus:
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Transparent runway:101cm × 10cm × 30cm.
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Mirror: at a 45 angle below the track.
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Digital camera:
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Fastened on a tripod placed 1 m away from the runway.
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Level with and perpendicular to the runway.
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Papers Review(4)
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Papers Review(4)
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Materials and Methods
System architecture diagram
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Materials and Methods
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Experimental apparatus:
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Camera:
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Sparrow IEEE 1394b IMS-130 CR.
MAVIS IEEE 1394a IM-100.
Image capture card: 1394a, 1394b.
Animal cage: 80cm × 80cm × 60cm.
PC: CPU is 2.5GHz and RAM is DDRII 800
2.00GB.
Software: C++ Builder6, opencv1.0.
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Materials and Methods
Start
Top angle
Side angle
Gray & Threshold
Color Threshold
Morphology operated
Morphology
operated
Object Detection
Object Detection
Draw the behavior line
Draw the line of
the leg joints
calculated the angle
between the leg
joints
Flow Chart
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Materials and Methods
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Analyzed the image for top angle
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An image is processed by setting a grey level
threshold.
The threshold image is obtained by Morphology
process.
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Materials and Methods
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Analyzed the image for top angle
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Center tracking
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cvFindContours
cvBoundingRect
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Materials and Methods
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Analyzed the image for side angle
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Color markers
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Markers for the use on hind paw should be well discriminated
from other limbs, tail, body and background.
Yojiro Sakiyama , Tetsujo Sujaku, Akihiro Furuta, “A novel automated method for
measuring the effect of analgesics on formalin-evoked licking behavior in rats”,
Journal of Neuroscience Methods, 167 (2008) 167–175.
2017/7/31
21
Materials and Methods
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Analyzed the image for side angle
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An image is processed by setting a color threshold.
The threshold image is obtained by Morphology
process.
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Materials and Methods
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Analyzed the image for side angle
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The four feet joints marks Center tracking
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cvFindContours
cvBoundingRect
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Materials and Methods
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Analyzed the image for side angle
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Calculated the angle between the leg joints
A
c 2  a 2  b 2  2ab cos x

a
c

cos x  a 2  b 2  c 2 / 2ab 
x
B
C
b
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Materials and Methods
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Analyzed the image for side angle
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Calculated the angle between the leg joints
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The angle between the red and green line:90°
The angle between the green and blue line:47°
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References
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Sedý J, Urdzíková L, Jendelová P, and Syková E, “Methods for behavioral testing of spinal
cord injured rats”, Neuroscience and Biobehavioral Reviews., 32: 550–580, 2008.
Yuan-Hsing Shih, and Ming-Shing Young, “Integrated digital image and accelerometer
measurements of Rat locomotor and vibratory behavior” Journal of Neuroscience Methods.,
166: 81–88, 2007.
Ming-Wen Chang, Ming-Shing Young, and Mao-Tsun Lin, “An inclined plane system with
microcontroller to determine limb motor function of laboratory animals” Journal of
Neuroscience Methods., 168: 186–194, 2008.
Ming-Wen Chang, Ching-Ping Chang, Ying-Chieh Weia, Shang-You Hou,Ming-Shing
Young, and Mao-Tsun Lin, “A force plate measurement system to assess hindlimb weight
support of spinal cord injured rats” Journal of Neuroscience Methods., 189: 130–137, 2010.
Yojiro Sakiyama, Tetsujo Sujaku, and Akihiro Furuta, “A novel automated method for
measuring the effect of analgesics on formalin-evoked licking behavior in rats” Journal of
Neuroscience Methods., 167: 167–175, 2008.
HuanWang, Robert J. Spinner, EricJ. Sorenson, and Anthony J.Windebank, “Measurement of
forelimb function by digital video motion analysis in rat nerve transection models” Journal of
the Peripheral Nervous System., 13: 92–102, 2008.
2017/7/31
26