Idaku Ishii

Last Updated :2019/12/02

Affiliations, Positions
Graduate School of Engineering, Professor
E-mail
iishiirobotics.hiroshima-u.ac.jp

Basic Information

Academic Degrees

  • Doctor of Engineering, The University of Tokyo

Research Fields

  • Engineering;Electrical and electronic engineering;Measurement engineering

Research Keywords

  • Sensing
  • High-speed Vision
  • Robotics

Educational Activity

Course in Charge

  1. 2019, Undergraduate Education, Second Semester, Research Tutorial IB
  2. 2019, Graduate Education (Master's Program) , First Semester, ILDP International Team Project (I to J)
  3. 2019, Undergraduate Education, 4Term, Electronic Circuits
  4. 2019, Graduate Education (Master's Program) , First Semester, Multidisciplinary Seminar I
  5. 2019, Graduate Education (Master's Program) , First Semester, Multidisciplinary Seminar II
  6. 2019, Graduate Education (Master's Program) , Second Semester, Multidisciplinary Seminar I
  7. 2019, Graduate Education (Master's Program) , Second Semester, Multidisciplinary Seminar II
  8. 2019, Graduate Education (Doctoral Program) , First Semester, Multidisciplinary Seminar III
  9. 2019, Graduate Education (Doctoral Program) , Second Semester, Multidisciplinary Seminar III
  10. 2019, Graduate Education (Doctoral Program) , First Semester, Multidisciplinary Seminar IV
  11. 2019, Graduate Education (Doctoral Program) , Second Semester, Multidisciplinary Seminar IV
  12. 2019, Graduate Education (Master's Program) , Year, Seminar on medical equipment engineering (B)
  13. 2019, Graduate Education (Master's Program) , Academic Year, Seminar on medical equipment engineering (B)
  14. 2019, Graduate Education (Master's Program) , First Semester, Seminar on Medical Equipment Engineering (B)
  15. 2019, Graduate Education (Master's Program) , Second Semester, Seminar on Medical Equipment Engineering (B)
  16. 2019, Graduate Education (Doctoral Program) , Academic Year, Directed Study in System Cybernetics III
  17. 2019, Graduate Education (Doctoral Program) , Year, Directed Study in System Cybernetics IV
  18. 2019, Graduate Education (Doctoral Program) , Academic Year, Directed Study in System Cybernetics V
  19. 2019, Graduate Education (Master's Program) , First Semester, Directed Study in System Cybernetics IA
  20. 2019, Graduate Education (Master's Program) , Second Semester, Directed Study in System Cybernetics IA
  21. 2019, Graduate Education (Master's Program) , Second Semester, Directed Study in System Cybernetics IB
  22. 2019, Graduate Education (Master's Program) , First Semester, Directed Study in System Cybernetics IB
  23. 2019, Graduate Education (Master's Program) , First Semester, Directed Study in System Cybernetics IIA
  24. 2019, Graduate Education (Master's Program) , Second Semester, Directed Study in System Cybernetics IIA
  25. 2019, Graduate Education (Master's Program) , Second Semester, Directed Study in System Cybernetics IIB
  26. 2019, Graduate Education (Master's Program) , First Semester, Seminar in System Cybernetics IA
  27. 2019, Graduate Education (Master's Program) , Second Semester, Seminar in System Cybernetics IA
  28. 2019, Graduate Education (Master's Program) , Second Semester, Seminar in System Cybernetics IB
  29. 2019, Graduate Education (Master's Program) , First Semester, Seminar in System Cybernetics IB
  30. 2019, Graduate Education (Master's Program) , First Semester, Seminar in System Cybernetics IIA
  31. 2019, Graduate Education (Master's Program) , Second Semester, Seminar in System Cybernetics IIA
  32. 2019, Graduate Education (Master's Program) , Second Semester, Seminar in System Cybernetics IIB

Research Activities

Academic Papers

  1. A Hardware-Oriented Algorithm for Ultra-High-Speed Object Detection, IEEE SENSORS JOURNAL, 19(10), 3818-3831, 20190515
  2. Development of an Active High-Speed 3-D Vision System, SENSORS, 19(7), 20190401
  3. Vision-Based Modal Analysis Using Multiple Vibration Distribution Synthesis to Inspect Large-Scale Structures, JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 141(3), 201903
  4. Vibration Sensing of a Bridge Model Using a Multithread Active Vision System, IEEE-ASME TRANSACTIONS ON MECHATRONICS, 23(1), 179-189, 201802
  5. A fast vibration source tracking algorithm using pixel-level digital filters, Transactions of the JSME (in Japanese), 84(857), 17-00469, 20180111
  6. Real-Time Monocular Three-Dimensional Motion Tracking Using a Multithread Active Vision System, JOURNAL OF ROBOTICS AND MECHATRONICS, 30(3), 453-466, 201807
  7. Flower Stick Manipulation Based on the High-speed Visual Feedback Control of a Dual Robotic Arm, IFAC-PapersOnLine,, 51(22), 209-213, 2018/12/12
  8. A Modular and Reconfigurable Pipeline Architecture for Learning Vector Quantization, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 65(10), 3312-3325, 2018/10
  9. Motion-Blur-Free Video Shooting System based on Frame-by-Frame Intermittent Tracking, ROBOMECH Journal, 4, 28, 20171121
  10. Motion-Blur-Free High-Speed Video Shooting Using a Resonant Mirror, SENSORS, 17(11), 201711
  11. Monocular Stereo Measurement Using High-Speed Catadioptric Tracking., Sensors, 17(8), 1839-1868, 20170809
  12. Real-Time Vibration Source Tracking Using High-Speed Vision, IEEE SENSORS JOURNAL, 17(5), 1513-1527, 20170401
  13. A hardware-oriented histogram of oriented gradients algorithm and its VLSI implementation, JAPANESE JOURNAL OF APPLIED PHYSICS, 56(4), 20170401
  14. Position and Inclination Control of a Passive Disk Based on Cyclic Motion Generation, ROBOMECH Journal, 4(3), 20170103
  15. Real-Time Vibration Source Tracking Using High-Speed Vision, IEEE SENSORS JOURNAL, 17(5), 1513-1527, 2017
  16. Vision-Based Real-Time Microflow-Rate Control System for Cell Analysis, JOURNAL OF ROBOTICS AND MECHATRONICS, 28(6), 854-861, 20161201
  17. Pixel-Level and Robust Vibration Source Sensing in High-Frame-Rate Video Analysis, SENSORS, 16(11), 20161101
  18. Review of Some Advances and Applications in Real-time High-speed Vision: Our Views and Experiences, INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING, 13(4), 305-318, 201608
  19. High frame-rate tracking of multiple color-patterned objects, JOURNAL OF REAL-TIME IMAGE PROCESSING, 11(2), 251-269, 201602
  20. Pixel-Level and Robust Vibration Source Sensing in High-Frame-Rate Video Analysis, SENSORS, 16(11), 2016
  21. LOC-Based High-Throughput Cell Morphology Analysis System, IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 12(4), 1346-1356, 20151001
  22. Blink-Spot Projection Method for Fast Three-Dimensional Shape Measurement, Journal of Robotics and Mechatronics, 27(4), 430-443, 20150820
  23. Simultaneous Vision-Based Shape and Motion Analysis of Cells Fast-Flowing in a Microchannel, IEEE Transactions on Automation Science and Engineering, 12(1), 204-215, 20150501
  24. Cyclic Motion Design and Analysis for a Passive Object Manipulation Using an Active Plate, Advanced Robotics, 29(7), 493-503, 20150422
  25. Real-Time Image Mosaicing System Using a High-Frame-Rate Video Sequence, Journal of Robotics and Mechatronics, 27(1), 12-23, 20150220
  26. A SELF-PROJECTED STRUCTURED LIGHT SYSTEM FOR FAST THREE-DIMENSIONAL SHAPE INSPECTION, INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 30(5), 458-470, 2015
  27. Simultaneous Vision-Based Shape and Motion Analysis of Cells Fast-Flowing in a Microchannel, IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 12(1), 204-215, 2015
  28. Cyclic motion design and analysis for a passive object manipulation using an active plate, ADVANCED ROBOTICS, 29(7), 493-503, 2015
  29. LOC-Based High-Throughput Cell Morphology Analysis System, IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 12(4), 1346-1356, 2015
  30. A SELF-PROJECTED STRUCTURED LIGHT SYSTEM FOR FAST THREE-DIMENSIONAL SHAPE INSPECTION, INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 30(5), 458-470, 2015
  31. High-Frame-Rate Structured Light 4-D Vision for Fast Moving Objects, Journal of Robotics and Mechatronics, 126(3), 311-320, 201406
  32. A High-Frame-Rate Vision System with Automatic Exposure Control, IEICE Transactions on Information and Systems, E97-D(4), 936-950, 20140401
  33. Concrete Surface Strain Measurement Using Moire fringes, Construction and Building Materials, doi:10.1016/j.conbuildmat2013.12.035 (online first), 20140114
  34. A High-Frame-Rate Vision System with Automatic Exposure Control, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E97D(4), 936-950, 2014
  35. 501-fps Face Tracking System, Journal of Real-Time Image Processing, 8(4), 379-388, 2013
  36. Dynamics-Based Stereo Visual Inspection Using Multidimensional Modal Analysis, IEEE Sensors Journal, 13(12), 4831-4843, 2013
  37. A Real-Time Microscopic PIV System Using Frame Straddling High-Frame-Rate Vision, Journal of Robotics and Mechatronics, 25(4), 586-595, 2013
  38. Fast Tracking System for Multi-colored Pie-shaped Markers, International Journal of Optomechatronics, 7(3), 160-180, 2013
  39. High Frame-rate Tracking of Multiple Color-patterned Objects, Journal of Real-Time Image Processing, doi: 10.1007/s11554-013-0349-y (online first) , 2013
  40. Fast FPGA-Based Multi-Object Feature Extraction, IEEE Transactions on Circuits and Systems for Video Technology, 23(1), 30-45, 2013
  41. Fast FPGA-Based Multiobject Feature Extraction, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 23(1), 30-45, 2013
  42. Fast Tracking System for Multi-colored Pie-shaped Markers, INTERNATIONAL JOURNAL OF OPTOMECHATRONICS, 7(3), 160-180, 2013
  43. Dynamics-Based Stereo Visual Inspection Using Multidimensional Modal Analysis, IEEE SENSORS JOURNAL, 13(12), 4831-4843, 2013
  44. 500-fps face tracking system, JOURNAL OF REAL-TIME IMAGE PROCESSING, 8(4), 379-388, 2013
  45. A Self-Projected Light-Section Method for Fast Three-Dimensional Shape Inspection, International Journal of Optomechatronics, 6(4), 289-303, 2012
  46. Real-Time Optical Flow Estimation Using Multiple Frame-Straddling Intervals, Journal of Robotics and Mechatronics, 24(4), 686-698, 2012
  47. Accuracy of Gradient-Based Optical Flow Estimation in High-Frame-Rate Video Analysis, IEICE Transactions on Information and Systems, E95-D(4), 1130-1141, 2012
  48. A Fast Multi-Object Extraction Algorithm Based on Cell-Based Connected Components Labeling, IEICE Transactions on Information and Systems, E95-D(2), 636-645, 2012
  49. High-Frame-Rate Optical Flow System, IEEE Transactions on Circuits and Systems for Video Technology, 22(1), 105-112, 2012
  50. High-Frame-Rate Optical Flow System, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 22(1), 105-112, 2012
  51. A Fast Multi-Object Extraction Algorithm Based on Cell-Based Connected Components Labeling, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E95D(2), 636-645, 2012
  52. Accuracy of Gradient-Based Optical Flow Estimation in High-Frame-Rate Video Analysis, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E95D(4), 1130-1141, 2012
  53. Color-histogram-based tracking at 2000 fps, JOURNAL OF ELECTRONIC IMAGING, 21(1), 2012
  54. A SELF-PROJECTED LIGHT-SECTION METHOD FOR FAST THREE-DIMENSIONAL SHAPE INSPECTION, INTERNATIONAL JOURNAL OF OPTOMECHATRONICS, 6(4), 289-303, 2012
  55. HFR-Video-Based Machinery Surveillance for High-Speed Periodic Operations, Journal of System Design and Dynamics, 5(6), 1310-1325, 2011
  56. Algorithm for Automatic Behavior Quantification of Laboratory Mice Using High-Frame-Rate Videos, SICE Journal of Control, Measurement, and System Integration, 4(5), 322-331, 2011
  57. A Structural Damage Quantification Method for HFR-Video-Based Modal Testing, Journal of System Design and Dynamics, 5(4), 624-641, 2011
  58. An Intelligent High-Frame-Rate Video Logging System for Abnormal Behavior Analysis, Journal of Robotics and Mechatronics, 123(1), 53-65, 2011
  59. Simultaneous Dynamics-Based Visual Inspection Using Modal Parameter Estimation, Journal of Robotics and Mechatronics, 23(1), 180-195, 2011
  60. Real-time Scratching Behavior Quantification System for Laboratory Mice Using High-speed Vision, Journal of Real-Time Image Processing, 4(2), 181-190, 2009
  61. Real-time scratching behavior quantification system for laboratory mice using high-speed vision, JOURNAL OF REAL-TIME IMAGE PROCESSING, 4(2), 181-190, 2009
  62. Automatic Scratching Pattern Detection for Laboratory Mice using High-speed Video Images, IEEE Transactions on Automation Science and Engineering, 5(1), 176-182, 2008
  63. Automatic scratching pattern detection for laboratory mice using high-speed video images, IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 5(1), 176-182, 2008
  64. Dynamic Capturing Strategy for a 2-D Stick-Shaped Object Based on Friction Independent Collision, IEEE Transactions on Robotics, 23(3), 541-552, 2007
  65. Identification of Equine Subclinical Lameness Induced by Pressure to the Sole of Fore- or Hindlimb, Journal of Equine Veterinary Science, 27(10), 429-434, 2007
  66. A Sensitive Gait Parameter for Quantification of Arthritis in Rats, Journal of Pharmacological Sciences, 103(2), 113-116, 2007
  67. A sensitive gait parameter for quantification of arthritis in rats, JOURNAL OF PHARMACOLOGICAL SCIENCES, 103(1), 113-116, 2007
  68. Dynamic capturing strategy for a 2-d stick-shaped object based on friction independent collision, IEEE TRANSACTIONS ON ROBOTICS, 23(3), 541-552, 2007
  69. Identification of equine subclinical lameness induced by pressure to the sole of fore- or hindlimb, JOURNAL OF EQUINE VETERINARY SCIENCE, 27(10), 429-434, 2007
  70. Higher Order Autocorrelation Vision Chip, IEEE Transactions on Electron Devices, 153(8), 1797-1804, 2006
  71. Non-Dimensional Analysis Based Design on Tracing Type Legged Robots, Journal of Robotics and Mechatronics, 18(3), 333-339, 2006
  72. Higher order autocorrelation vision chip, IEEE TRANSACTIONS ON ELECTRON DEVICES, 53(8), 1797-1804, 2006
  73. Moment feature-based three-dimensional tracking using two high-speed vision systems, Advanced Robotics, 17(10), 1041-2056, 2003
  74. A Digital Vision Chip Specialized for High-speed Target Tracking, IEEE Transaction on Electron Devices, 50(1), 191-199, 2003
  75. Device and System Development of General Purpose Digital Vision Chip, Journal of Robotics and Mechatronics, 2(5), 515-520, 2001
  76. 1ms Sensory-Motor Fusion System, IEEE Transactions On Mechatoronics, 5(3), 244-252, 2000
  77. 電子情報通信学会論文誌D-I, J81-D-1 (2), 70-76, 1998
  78. Real-time Monocular Three-dimensional Motion Tracking Using a Multithread Active Vision System, Journal of Robotics and Mechantronics, 30(3), 453-466

Publications such as books

  1. Rural Technology Development and Delivery (RuTAG and Its Synergy with Other Initiatives), High-frame-rate Video Analysis for Mobile-vibration-based Crop Inspection (Chapter 10), Springer, 2019, 4, 英語, Kohei Shimasaki, Sushil Raut, Mingjun Jiang, Takeshi Takaki, Idaku Ishii, 17
  2. Human-Harmonized Information Technology, Vol.1, Dynamic Information Space Based on High-Speed Sensor Technology (Chapter 5),, Springer, 2016, English, Masatoshi Ishikawa, Idaku Ishii, Yutaka Sakaguchi, Makoto Shimojo, Hiroyuki Shinoda, Hirotsugu Yamamoto, Takashi Komuro, Hiromasa Oku, Yutaka Nakajima, and Yoshihiro Watanabe(Toyoaki Nishida Ed.)
  3. 2015, Hyper Bio Assembler for 3D Cellular Systems, Real-time Capillary-level Microchannel Flow Analysis Using a Full-pixel Frame-straddling Micro-PIV System, Springer, 2015, English, Idaku Ishii and Tadayoshi Aoyama (T. Arai, F. Arai and M. Yamato eds)
  4. Integrated Imaging and Vision Techniques for Industrial Inspection: Advances and Applications, Fast Three-Dimensional Shape Inspection Using a Multi-sided Mirror, Springer, 2015, Idaku Ishii (Z. Liu, H. Ukida, P. Ramuhalli, and K. Niel eds)
  5. 2012/05/02, Human-Centric Machine Vision (M. Chessa, F. Solari and S.P. Sabatini, eds.), In this chapter, We have developed a real-time scratching behavior quantification system for laboratory mice; for this purpose, we introduced a specially designed high-speed vision system that can calculate the frame-to-frame difference for a 640 × 400 pixel image at a rate of 240 fps. An improved scratching quantification algorithm is implemented in the system and demonstrated experiment for detecting scratching behavior for 20min in 4 ICR mice. The analysis results demonstrate the system's effectiveness wih regard to accurate mice scratching quantification for real-time and long-time observation. For next step, the current method will be improved and an automated system will be developed for objective and quantitative evaluations of laboratory animal behaviors for practiealuse such as the development of new drugs for various diseases including atopic dermatitis., In this chapter, We have developed a real-time scratching behavior quantification system for laboratory mice; for this purpose, we introduced a specially designed high-speed vision system that can calculate the frame-to-frame difference for a 640 × 400 pi image at a rate of 240 fps. An improved scratching quantification algorithm is implemented in the system and demonstrated experiment for detecting scratching behavior for 20min in 4 ICR mice. The analysis results demonstrate the system's effectiveness wih regard to accurate mice scratching quantification for real-time and long-time observation. For next step, the current method will be improved and an automated system will be developed for objective and quantitative evaluations of laboratory animal behaviors for practiealuse such as the development of new drugs for various diseases including atopic dermatitis., Automatic Scratching Analyzing System for Laboratory Mice: SCLABA-Real, INTECH, 2012, 5, English, Yuman Nie, Idaku Ishii, Akane Tanaka and Hiroshi Matsuda, 188, 18
  6. 2012/03/14, Advanced Image Acquisition, Processing Techniques and Applications I (D. Ventzas ed.), In this chapter, a spatio-temporal selection type coded structured light projection method is proposed for the acquisition of three-dimensional images at a high frame rate. The proposed method can select adaptive space encoding types accoding to the temporal changes in the code images, Our proposed method was verified off-line using a testbed that was composed of a high-speed camera and ahigh-speed projector. We evaluated its effectiveness by producing experimental results for various three-dimensional objects moving quickly, at a high frame rate such as 1000 fps, which is too fast for the human eye to observe their three-dimensional motion in detail., In this chapter, a spatio-temporal selection type coded structured light projection method is proposed for the acquisition of three-dimensional images at a high frame rate. The proposed method can select adaptive space encoding types accoding to the temporal changes in the code images, Our proposed method was verified off-line using a testbed that was composed of a high-speed camera and ahigh-speed projector. We evaluated its effectiveness by producing experimental results for various three-dimensional objects moving quickly, at a high frame rate such as 1000 fps, which is too fast for the human eye to observe their three-dimensional motion in detail., A Coded Structured Light Projection Method for High-Frame-Rate 3D Image Acquisition, INTECH, 2012, 3, English, Idaku Ishii, 178, 16
  7. 2000, Robotics Research (J.M. Hollerbach and D.E. Koditschek eds.), 1ms Sensory-Motor Fusion System , Springer, 2000, English, Masatoshi Ishikawa, Takashi Komuro, Akio Namiki, and Idaku Ishii, 6

Awards

  1. 2018年10月30日, 1st Place Oral Student Paper Award, IEEE Sensors 2018, IEEE Sensors Council
  2. 2017年12月06日, 2017 International Symposium on Micro-NanoMechatronics and Human Science(MHS 2017) Best Paper Award, General Co-Chairs MHS2017
  3. 2016年08月31日, "The Arifin Wardiman Award Best Paper Award", General Chair of ICA
  4. 2015年12月13日, Best Student Paper Award IEEE/SICE International Symposium on System Integration (SII2015) , General Chair Award Chair
  5. 2012年05月17日, IEEE ROBOTICS AND AUTOMATION SOCIETY,Best Automation Paper Award-Finalist, General Chair,ICRA2012・Awards Chair,ICRA2012
  6. 2011年11月03日, ISOT2011 Best Student Paper Award, Yeung Yam General Chair, ISOT2011, 2000-FPS Multi-Object Recognition using SHIFT-Invariant Features
  7. 1996年, Video Award Finalist, IEEE Int. Conf. on Robotics and Automation