TAN Joo kooi





1-1 Sensui-cho, Tobata-ku, Kitakyushu-shi, Fukuoka

Research Fields, Keywords


E-mail address

Special Affairs

JK Tan

Scopus Paper Info  
Total Paper Count: 0  Total Citation Count: 0  h-index: 10

Citation count denotes the number of citations in papers published for a particular year.

Degree 【 display / non-display

  • Kyushu Institute of Technology -  Doctor of Engineering  2000.03

Biography in Kyutech 【 display / non-display

  • 2019.09

    Kyushu Institute of TechnologyFaculty of Engineering   Department of Mechanical and Control Engineering   Professor  

Academic Society Memberships 【 display / non-display

  • 2018.12

    The Institute Electronic Information and Communication Engineering  JAPAN

  • 2016.11

    Biomedical Fuzzy Systems Association  JAPAN

  • 2002.04

    Information Processing Society of Japan (IPSJ)  JAPAN

  • 2002.04

    The Institute of Electrical and Electronics Engineers, Inc.  UNITED STATES

Specialized Field (scientific research fund) 【 display / non-display

  • Human interface and interaction

  • Social systems engineering/Safety system

  • Perceptual information processing


Publications (Article) 【 display / non-display

  • A Method of Navigating a Visually Impaired Person Using MY VISION

    Joo Kooi Tan, Kohei Kitagawa

    Journal of Robotics, Networking and Artificial Life    9 ( 1 ) 1 - 6   2022.06  [Refereed]

     View Summary

    This paper describes a method of navigating a visually impaired person who walks on a sidewalk and goes through a pedestrian crossing by the use of an ego-camera system named MY VISION. The proposed method finds a walkable region on the sidewalk. Thus, at a pedestrian crossing, it finds a traffic light and judges an appropriate timing to cross the road by analyzing the color and flashing status of the signal. The walkable region is found employing Graph- Based Segmentation (GBS), and once a pedestrian crossing is reached through the use of a GPS signal, a traffic light is detected by use of the HOG feature and Random Forest. The effectiveness of the proposed method was verified by experiments. This implies usefulness of a MY VISION system.


  • A Method of Identifying a Public Bus Route Number Employing MY VISION

    Joo Kooi Tan, Yosiki Hamasaki, Ye Zhou, Ishitobi Kazuma

    Journal of Robotics, Networking and Artificial Life    8 ( 3 ) 1 - 6   2021.12  [Refereed]

     View Summary

    In response to requests from visually impaired people for better assistance tools in their daily lives and due to the difficulty of using public transportation, it is proposed a bus boarding support system using MY VISION. For the support, a method of identifying a bus route number is proposed in this paper. A bus approaching a bus stop is detected from MY VISION images that utilizes the Lucas-Kanade tracker. A bus route number area is then acquired with the help of the Haar-like filters and the random forest. Finally, the number from the area is extracted and identified through pattern matching. The effectiveness of the proposed method was shown by experiments. The results indicate that it is possible to realize a practical boarding support system for the visually impaired.


  • Detection of a Fallen Person and its head and lower body from aerial images

    Joo Kooi Tan, Haruka Egawa

    Journal of Robotics, Networking and Artificial Life    8 ( 2 ) 134 - 138   2021.09  [Refereed]

     View Summary

    This paper proposes a method of detecting a person fallen on the ground and its head and lower body from aerial images. The study intends to automate discovering victims of disasters such as earthquakes from areal images taken by a UAV. Rotation-invariant HOG and rotation-invariant LBP are employed as features describing a fallen person so as to detect it regardless of its body orientation. The proposed method also detects the head and the lower body of a fallen person using the peak of the gradient histogram. Experimental results show satisfactory performance of the proposed method.

    repository DOI Scopus

  • Human motion recognition using TMRIs with extended HOOF

    Jing Cao, Youtaro Yamashita, Joo Kooi Tan

    Journal of Robotics, Networking and Artificial Life    7 ( 4 ) 1 - 6   2021.03  [Refereed]

     View Summary

    In recent years, research on computer vision has shown great advancement and has been applied to a wide range of fields. Among them, automatic recognition of human motion is an important technology especially in crime prevention and elderly watching systems. Considering this trend, the paper proposes a novel method of human motion description and recognition employing a MHI (Motion History Image)-based method called TMRIs (Triplet Motion Representation Images) and an extended feature descriptor called HOOF (Histograms of Oriented Optical Flow) which contains information on the direction and velocity of movement. One of the advantages of the proposed method over existent methods is that it solves a self-occlusive motion problem particularly in the depth direction which occurs when a single camera is used. The performance and effectiveness of the proposed method are verified by experiments.

    Keywords: Human motion; Description; Recognition; Elderly care; crime prevention; MHI; Triplet Motion Representation Images; HOOF.

    repository DOI

  • Estimation of Self-Posture of a Pedestrian Using MY VISION Based on Depth and Motion Network

    Joo Kooi Tan,Tomoyuki Kurosaki

    Journal of Robotics, Networking and Artificial Life    7 ( 3 ) 1 - 6   2020.12  [Refereed]

     View Summary

    A system is proposed that performs gait analysis of a pedestrian to improve a walk posture and at the same time to prevent fall. In the system, a user walks with a chest-mounted camera. His/her walking posture is estimated using a pair of images obtained from the camera. Normally it is difficult to estimate the camera movement, when the parallax of the image pair is small. Therefore, the system uses a convolutional neural network. Optical flow and camera movement, and depth images are estimated alternately. Satisfactory results were obtained experimentally.

    Keywords: Posture, Posture analysis, Pedestrian, MY VISION, Depth and Motion Network.

    repository DOI

display all >>

Conference Prsentations (Oral, Poster) 【 display / non-display

  • 回転不変特徴量を用いたマルチコプター画像からの倒伏人物の検出

    江川遥香, タン ジュークイ

    バイオメディカル・ファジィ・システム第33回年次大会  (九州工業大学)  2020.10  -  2020.11  バイオメディカル・ファジィ・システム学会

  • TMRIを用いたシングルカメラ映像からの人の動作認識

    曹 静, 山下 陽太郎, タン ジュークイ

    電子情報通信学会画像工学研究会 信学技報  (九州工業大学)  2020.03  -  2020.03  電子情報通信学会

     View Summary

    近年,コンピュータビジョンに関する研究が進み,幅広い分野で応用されつつある.その中で,人の 動作の自動認識は,特にカメラを用いた防犯や見守りシステムにおいて重要な技術である.しかし従来法は,カメ ラの前を横切る動作の動作認識の研究がほとんどである.本論文では,シングルカメラを前提として,奥行方向の 動作の認識が可能な TMRI(Triplet Motion Representation Images)を用いた動作認識法を提案する.実験により,提 案法の有効性を示す.

  • Cargo position measurement using Epipolar Geometry for logistics

    Fukuda Kazuki,Maeoka Takuji,Tan Joo Kooi

    BMFSA2019  2019.11  -  2019.11  Biomedical Fuzzy Systems Association

     View Summary

    In recent years, the labor shortage has become a serious problem in logistics industries. In particular, among the five major functions of logistics, most of the storage and cargo handling operations are performed manually using forklifts. This problem can be solved by automating the process. In this paper, we propose a method to acquire the position of cargo from the images taken by two fixed cameras in a warehouse and the relative distance information between a transport vehicle and the cargo using the camera attached to the vehicle. The effectiveness of the proposed methods is shown by experiments.

  • Employment of Uncalibrated Cameras for 3-D Shape Recovery

    Joo Kooi Tan, Seiji Ishikawa

    BMFSA2019  2019.11  -  2019.11  Biomedical Fuzzy Systems Association

     View Summary

    A method of 3-D shape recovery employing uncalibrated cameras is described. Three-dimensional shape recovery has long been studied to date and has various application fields. An established method for 3-D shape recovery is based on stereo cameras which necessitates camera calibration in advance. In this paper, a 3-D shape recovery method by uncalibrated cameras is presented, which ranges from the recovery of partial shape of an object to its entire shape. One of the main advantages of the present method is that the shape recovery is not restricted to a video capture site such as a studio, if only videos are able to be taken by cameras.

    Keywords: Shape recovery, 3-D modeling, non-rigid objects, entire shape recovery, singular value decomposition

  • A Human Motion Prediction Method by Deep Learning Using Temporal PAFs

    Sano Tomoya, Yoshiaki Miyatake, Tan Joo Kooi

    BMFSA2019  2019.11  -  2019.11  Biomedical Fuzzy Systems Association

     View Summary

    Recently, research and development on automatic operation and factory automation have been actively conducted. It is considered that support robots working in living environments closely related to humans need to recognize and predict human actions and movements from the information obtained using sensors such as cameras from the viewpoint of safety and cooperation. In this paper, we propose a method for predicting human motion using posture information and motion information obtained from video images. In conventional dimensionality reduction using deep learning and encoding and principal component analysis, there is a drawback that it is difficult to know how valid the reduced dimension is for motion prediction. In this paper, we solve this shortcoming by using motion representation and predicting while maintaining the spatial relationship. Experiments show the effectiveness of the proposed method.

display all >>

Lectures 【 display / non-display

  • マイビジョンシステムを用いた人と周囲環境の理解

    第46回日本臨床バイオメカニクス学会 ( 久留米シティプラザ )  2019.12.01  日本臨床バイオメカニクス学会

     View Summary


  • M MY VISION: A Support System Providing Visual Assistance

    International Conference on Machine Intelligence   2019.05.20  Kyushu Institute of Technology

  • MY VISION System-Based Recognition of Ambient Environmental Objects and Its Application

    International Conference on Robotics Sensor Networks   2018.08.25  European Alliance for Innovation

  • Support Systems for Impaired People Based on MY VISION

    International Conference on Technology and Social Science   2018.04.19  NPO The e-JIKEI Network Promotion Institute (Japan),International Research Enthusiast Society Inc. (IRES)

  • Finger Characters Recognition System Using a Wearable Camera -- A spread out tool to contactless security system


display all >>

Honors and Awards 【 display / non-display

  • The Best Presentation Award

    2020.05     JAPAN

  • Finalist in the SICE Annual Conference International Award

    2017.09.19     JAPAN

  • The Best Paper Award

    2015.11.21     JAPAN

  • The Best Paper Award

    2013.10.13     JAPAN

    Winner: Eftakhar S. M. A., Tan J. K., Kim H., Ishikawa S

  • The Best Paper Award

    2012.12     JAPAN

    Winner: Qian S., Tan J.K., Kim H., Ishikawa S., Morie T.

display all >>


Activities of Academic societies and Committees 【 display / non-display

  • 2021.06

    The Journal of Robotics, Networking and Artificial Life   Reviewer of the Journal of Robotics, Networking and Artificial Life

  • 2018.12

    Biomedical Fuzzy Systems Association