Faculty Profiles - TANJO YUI

Papers - TANJO YUI

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Walk Environment Analysis Using MY VISION: Toward a Navigation System Providing Visual Assistance Reviewed International journal

Tan Joo Kooi, Ishimine Tomoki, Arimasu Shohei

International Journal of Innovative Computing, Information and Control ( ICIC International ) 15 ( 3 ) 861 - 871 2019.06

Authorship：Lead author,　Corresponding author Language：English Publishing type：Research paper (scientific journal)

This paper proposes a method of analyzing a human walk environment using MY VISION. MY VISION is an ego-camera and a computer system which analyzes a video obtained from the ego-camera to acquire certain visual information useful for human daily activities. The system is expected to be a virtual eye of a visually impaired person or the third eye of a pedestrian absorbed in a mobile phone. The proposed method keeps in a database the background images of key points along a sidewalk and judges if a MY VISION user is walking along the sidewalk or if he/she has come to a crosswalk by referring to the backgrounds. If the former, the method finds a safe road region on the sidewalk, whereas, if the latter, it searches for the crosswalk for finding an appropriate walk direction and a traffic light to know the proper timing to cross it. Experimental results show effectiveness of the proposed method.

DOI： 10.24507/ijicic.15.03.861

Scopus

CiNii Article

CiNii Research

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85067556972&origin=inward

Saliency Detection using Boundary Aware Regional Contrast Based Seam-map Reviewed

Islam A., Ahsan S.M.M., Tan J.K.

2018 International Conference on Innovation in Engineering and Technology, ICIET 2018 2019.03

Recognition of surrounding environment from electric wheelchair videos based on modified YOLOv2 Reviewed

Sakai, Y., H.,Lu, Joo Kooi Tan, Hyoungseop Kim

Future Generation Computer Systems 92 ( 3 ) 157 - 161 2019.03

Development of a Human-Robot Cooperative System Based on Visual Information Reviewed

Akitoshi Sato, Joo Kooi Tan, Yuta Ono

Proceedings of International Workshop on Advanced Image Technology(IWAIT2019) 1 - 6 2019.01

Finding a rush-out human employing a human body direction detector Reviewed

Yuta Ono, Joo Kooi Tan, Akitoshi Sato

Proceedings of International workshop on Advance Image Technology (IWAIT 2019) 1 - 6 2019.01

Employment of Uncalibrated Cameras for 3-D Shape Recovery

Tan Joo Kooi, Ishikawa Seiji

バイオメディカル・ファジィ・システム学会大会講演論文集 ( Biomedical Fuzzy Systems Association ) 32 ( 0 ) B1 - 1 2019.01

Authorship：Lead author Language：English Publishing type：Research paper (conference, symposium, etc.)

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.

DOI： 10.24466/pacbfsa.32.0_B1-1

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130007980073

A Method of Describing a Self-occlusive Motion - A Reverse Motion History Image Reviewed

TAN Joo Kooi, OKAE Sayaka, YAMASHITA Youtaro, ONO Yuta

International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association ( Biomedical Fuzzy Systems Association ) 24 ( 1 ) 1 - 7 2019.01

Authorship：Lead author,　Corresponding author Language：English Publishing type：Research paper (scientific journal)

This paper proposes a new method of describing a self-occlusive human motion, particularly in the depth direction, which has been considered little in the motion/action recognition studies to date in spite of its importance in our daily life. A Motion History Image (MHI) is a well-known method of describing a motion by a single gray value image, but it suffers from a self-occlusion problem in which present motion overwrites past motion. To solve this difficulty, a Reverse description MHI(RMHI) is proposed in the paper. RMHI and the original MHI are both employed for motion representation in the proposed method; the former for approach motion, whereas the latter for leave motion. In the experiment on motion recognition, motions are described by RMHI or MHI according to motion direction, transformed then to Hu moment vectors, and finally recognized employing the k-nearest neighbor. Experimental results show effectiveness of the RMHI description.

DOI： 10.24466/ijbschs.24.1_1

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130007998971

Development of a human-robot cooperative system based on visual information Reviewed

Sato A., Tan J.K., Ono Y.

Proceedings of SPIE - The International Society for Optical Engineering 11049 2019.01

Saliency Detection using Boundary Aware Regional Contrast Based Seam-map Reviewed

Aminul Islam, Sk. Md. Masudul Ahsan, JooKooi Tan

IEEE Proceedings of International Conference on Innovation in Engineering and Technology(ICIET)2018 1 - 5 2018.12

Registration of phalange region from CR images based on genetic algorithm Reviewed

Kawagoe K., Murakami S., Lu H., Tan J., Kim H., Aoki T.

International Conference on Control, Automation and Systems 2018-October 1464 - 1467 2018.12

Detection of phalange region based on U-Net Reviewed

Hatano K., Murakami S., Lu H., Tan J., Kim H., Aoki T.

International Conference on Control, Automation and Systems 2018-October 1338 - 1342 2018.12

Swallowing motion analyzing from dental MR imaging based on AKAZE and particle filter algorithm Reviewed

Suetani K., Lu H., Tan J., Kim H., Tanaka T., Kitou S., Morimoto Y.

International Conference on Control, Automation and Systems 2018-October 1343 - 1346 2018.12

Extraction of median plane from facial 3D point cloud based on symmetry analysis using ICP algorithm Reviewed

Yamada S., Lu H., Tan J.K., Kim H., Kimura N., Okawachi T., Nozoe E., Nakamura N.

International Conference on Control, Automation and Systems 2018-October 1347 - 1350 2018.12

Detection of phalange region based on U-Net Reviewed

Hatano K., Murakami S., Lu H., Tan J.K., Kim H., Aoki T.

International Conference on Control, Automation and Systems 1338 - 1342 2018.12

Swallowing motion analyzing from dental MR imaging based on AKAZE and particle filter algorithm Reviewed

Suetani K., Lu H., Tan J.K., Kim H., Tanaka T., Kitou S., Morimoto Y.

International Conference on Control, Automation and Systems 1343 - 1346 2018.12

Extraction of median plane from facial 3D point cloud based on symmetry analysis using ICP algorithm Reviewed

Yamada S., Lu H., Tan J.K., Kim H., Kimura N., Okawachi T., Nozoe E., Nakamura N.

International Conference on Control, Automation and Systems 1347 - 1350 2018.12

Extraction of GGO Candidate Regions on Thoracic CT Images using SuperVoxel-Based Graph Cuts for Healthcare Systems Reviewed

Lu H., Kondo M., Li Y., Tan J., Kim H., Murakami S., Aoki T., Kido S.

Mobile Networks and Applications 23 ( 6 ) 1169 - 1679 2018.12

Segmentation of Spinal Canal Region in CT Images using 3D Region Growing Technique Reviewed

Fu G., Lu H., Tan J.K., Kim H., Zhu X., Lu J.

2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018 2018.11

Object Detection on Video Images Based on R-FCN and GrowCut Algorithm Reviewed

Mouri K., Lu H., Tan J.K., Kim H.

2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018 2018.11

Segmentation of Spinal Canal Region in CT Images using 3D Region Growing Technique

Fu G., Lu H., Tan J., Kim H., Zhu X., Lu J.

2018 International Conference on Information and Communication Technology Robotics 1 - 4 2018.11

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Papers - TANJO YUI