Faculty Profiles - TANJO YUI

Papers - TANJO YUI

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Human Behavior Segmentation and Recognition Using a Single-camera Reviewed International journal

Jing Cao, Yui Tanjo

The 2024 International Conference on Artificial Life and Robotics ( Robot Artificial Life Society ) 969 - 973 2024.02

A Method of Recognizing Body Movements Based on a Self-viewpoint Video, Reviewed International journal

Iichirou Moribe,Yui Tanjo

The 2024 International Conference on Artificial Life and Robotics ( Robot Artificial Life Society ) 979 - 982 2024.02

Supporting Safe Walk of a Visually Impaired Person at a Station Platform Based on MY VISION Reviewed International journal

Shintaro Yamada, Yui Tanjo, Seiji Ishikawa

The 2024 International Conference on Artificial Life and Robotics ( Robot Artificial Life Society ) 983 - 986 2024.02

A Method of Improving the QOL of the People with Visual Impairment by MY VISION Reviewed International journal

Kitazumi S., Tanjo Y.

Proceedings of International Conference on Artificial Life and Robotics 964 - 968 2024.02

Supporting Safe Walk of a Visually Impaired Person at a Station Platform Based on MY VISION Reviewed

Yamada S., Tanjo Y., Isihkawa S.

Proceedings of International Conference on Artificial Life and Robotics 983 - 986 2024.01

Human Motion Recognition from Multiple Directions and Its Gait Cycles Analysis Reviewed

Ooba M., Tanjo Y.

Proceedings of International Conference on Artificial Life and Robotics 955 - 963 2024.01

Human Behavior Segmentation and Recognition Using a Single-camera Reviewed

Cao J., Tanjo Y.

Proceedings of International Conference on Artificial Life and Robotics 969 - 973 2024.01

A Method of Recognizing Body Movements Based on a Self-viewpoint Video Reviewed

Moribe I., Tanjo Y.

Proceedings of International Conference on Artificial Life and Robotics 979 - 982 2024.01

3D Point Cloud Registration and Segmentation of Reflective Metal Objects Using Go-ICP and Improved RANSAC Reviewed International journal

Kairi Morita, Ziyue Liu, Jing Cao, Joo Kooi Tan

The 2023 International Conference on Artificial Life and Robotics ( Robot Artificial Life Society ) 880 - 885 2023.02

Detection of Fallen Persons and Person Shadows from Drone Images Reviewed International journal

Taisei Ono, Haruka Egawa, Yuta Ono, Seiji Ishikawa, Joo Kooi Tan

The 2023 International Conference on Artificial Life and Robotics ( Robot Artificial Life Society ) 890 - 894 2023.02

Development of a Safe Walking Assistance System for Visually Impaired Persons Using MY VISION ― Estimation of a Safe Passage from Sidewalk Information Based on Transfer Learning of VGG-16 Network Reviewed International journal

Takumi Yokote, Joo Kooi Tan

The 2023 International Conference on Artificial Life and Robotics ( Robot Artificial Life Society ) 886 - 889 2023.02

Recognition of Human Walking Motion Using a Wearable Camera Reviewed International journal

Ziyue Liu, Tomoyuki Kurosaki, Joo Kooi Tan

ACM Proceedings of the 2022 International Conference on Computing and Pattern Recognition 7 - 13 2022.10

Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)

China Beijing 2022.11.17 - 2022.11.19

In recent years, the computer vision technology has been attracting more attention than ever and being applied in a wide range of fields. Among them, the technology on automatic recognition of human motion is particularly important, since it leads to automatic detection of suspicious persons and automatic monitoring of elderly people. Therefore, the research on human motion recognition using computer vision techniques has been actively conducted in Japan and overseas. However, most of the conventional researches on human motion recognition employs a video of a human motion taken using an external fixed camera. There is no research on human motion recognition using a video of a surrounding scenery provided from a wearable camera. This paper proposes a method of recognizing a human motion by estimating the posture change of a wearable camera attached to a walking human from the motion of a scenery in the video provided from the wearable camera and by analyzing a human trunk change obtained from the posture change of the camera. In the method, AKAZE is applied to the images to detect feature points and to find their correspondence. The 5-point algorithm is used to estimate the Epipolar geometry constraint and an essential matrix which provides a camera relative motion. The change of the camera relative motion is then used to analyze the shape of a human trunk. The analyzed results, i.e., walking motion features, are finally fed into a SVM to identify the motion. In the experiment, five types of walking motions are captured by a wearable camera from five subjects. The accuracy on human motion recognition was 80%. More precise feature points extraction, more exact estimation of motions, and considering variety of human walking motions are needed to improve the proposed technique.

Supporting Safe Walk of a Visually Impaired Person at a Railway Station Platform Based on MY VISION Reviewed International journal

Yuki Kawaguchi, Seiji Ishikawa,Takashi Shinimiya Joo Kooi Tan

Proc. of The 2022 International Conference on Artificial Life and Robotics (ICAROB2022) ( Artificial Life and Robotics (ICAROB) ) 1 - 4 2022.01

Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)

Japan Online 2022.01.21 - 2022.01.23

For a visually impaired person, platforms of railway station are places where there is a risk of falling. This paper proposes a system that prevents fall of a visually impaired person from the platform by use of self-viewpoint images provided from MY VISION, an ego camera system attached to a user. The edges of the platform are detected by region segmentation and line segment detection on the self-viewpoint images. The performance of the proposed system was experimentally examined and satisfactory results were obtained.

Kyutacar

Detecting a Pedestrian’s Walk Direction Using MY VISION for Supporting Safe Walk of a Visually Impaired Person Reviewed International journal

Shinya Iizumi, Joo Kooi Tan, others

Proceedings of the 2022 International Conference on Artificial Life and Robotics 1 - 4 2022.01

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

In this paper, we propose a method of recognizing multiple objects using MSC-HOG (Multiple-Scale-Cell Histograms of Oriented Gradients) features and intensity models of both pedestrians and bicyclists. We also propose a method of detecting approaching passersby using different discriminators without using time-series information such as Optical Flow. The effectiveness of the proposed method is verified by experiments.

A Method of Navigating a Visually Impaired Person Using MY VISION Reviewed International journal

Tan Joo Kooi, Kitagawa Kohei

Journal of Robotics, Networking and Artificial Life ( ALife Robotics Corporation Ltd. ) 9 ( 1 ) 25 - 30 2022.01

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

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

DOI： 10.57417/jrnal.9.1_25

Scopus

CiNii Research

Other Link： https://kyutech.repo.nii.ac.jp/records/7705

3-D recovery of a non-rigid object from a single camera view by piecewise recovery and synthesis Reviewed

Ishikawa S., Tan J. K., Kim H., Ishikawa S.

Proc. of the 21st Int. Conf. on Pattern Recognition (ICPR2012) 1443 - 1446 2012.11

Obstacles extraction using a moving camera Reviewed

Qian S., Tan J. K., Kim H., Ishikawa S.

Proc. of Asian Conf. on Computer Vision (ACCV2012) USB:1 - USB:12 USB: 12Pages 2012.11

Motion history image: Its variants and applications Reviewed

Ahad, M.A.R, Tan, J. K., Kim, H., Ishikawa S

Machine Vision and Applications,SpringerLink 23 ( 2 ) 255 - 281 2012.03

Moving objects segmentation at a traffic junction from vehicular vision Reviewed International journal

Joo Kooi Tan,Seiji Ishikawa,Shin-ichiro Sonoda,Makoto Miyoshi, Takashi Morie

ECTI Transactions on Computer and Information Technology 5 ( 2 ) 73 - 88 2011.11

Yokote T., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics 894 - 898 2023.01

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Papers - TANJO YUI