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The Quantitative Assessment System of Animal Behavior based on Image Technology (Part 2)

The Quantitative Assessment System of Animal Behavior based on Image Technology (Part 2). Presenter: Min-Ji Jan Adviser: Dr. Pei-Jarn Chen Date: 2010/11/24. 以影像技術為基礎之動物行為量化評估系統 (Part2). Papers Review(1).

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The Quantitative Assessment System of Animal Behavior based on Image Technology (Part 2)

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  1. The Quantitative Assessment System of Animal Behavior based on Image Technology (Part 2) Presenter: Min-Ji Jan Adviser: Dr. Pei-Jarn Chen Date: 2010/11/24 以影像技術為基礎之動物行為量化評估系統(Part2)

  2. Papers Review(1) Zhi-Wei Chou, “The Study of Animal Mutual Behavior Using Embedded System”, I-Shou University. System diagram

  3. Papers Review(1) Experimental apparatus: 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

  4. Papers Review(1) start • Flowchart: Frame Scanning Video file 1、Line Scan Object detection Image file Threshold 2、Determine end of line scan Object Detection Determine end of frame End

  5. Papers Review(1) • Results

  6. Papers Review(2) 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

  7. Papers Review(2) Experimental apparatus: Experimental cage: 45cm × 45cm × 40cm. Video camera: Samsung 510×492/EIA-pixel 380-Tvline CCD image sensor. Capture card: PV147, Provideo Inc. Accelerometer: ADXL202JE

  8. Papers Review(2) Results of image processing.

  9. Papers Review(3) 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.

  10. Papers Review(3)

  11. Papers Review(3)

  12. Papers Review(4) 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). A permanent marker was tattooed at five bony landmarks 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

  13. Papers Review(4) Experimental apparatus: Transparent runway:101cm × 10cm × 30cm. Mirror: at a 45 angle below the track. Digital camera: Fastened on a tripod placed 1 m away from the runway. Level with and perpendicular to the runway.

  14. Papers Review(4)

  15. Papers Review(4)

  16. Materials and Methods System architecture diagram

  17. Materials and Methods • Experimental apparatus: • Camera: • 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.

  18. Materials and Methods Flow Chart

  19. Materials and Methods • Analyzed the image for top angle • An image is processed by setting a grey level threshold. • The threshold image is obtained by Morphologyprocess.

  20. Materials and Methods • Analyzed the image for top angle • Center tracking • cvFindContours • cvBoundingRect

  21. Materials and Methods • Analyzed the image for side angle • Color markers • 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.

  22. Materials and Methods • Analyzed the image for side angle • An image is processed by setting a color threshold. • The threshold image is obtained by Morphologyprocess.

  23. Materials and Methods • Analyzed the image for side angle • The four feet joints marks Center tracking • cvFindContours • cvBoundingRect

  24. Materials and Methods • Analyzed the image for side angle • Calculated the angle between the leg joints •  A a c x B C b

  25. Materials and Methods • Analyzed the image for side angle • Calculated the angle between the leg joints •  • The angle between the red and green line:90° • The angle between the green and blue line:47°

  26. 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. References

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