Faculty Profiles - TANJO YUI

Papers - TANJO YUI

Division display41 - 60 of about 606／ All the affair displays >>

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

Wheat-WSI: Development and estimation of a seedling-stage waterlogging stress index using multimodal image features Reviewed International journal

323 1 - 19 110048 2025.12

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

Yokote T., Tan J.K.

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

Detection of Fallen Persons and Person Shadows from Drone Images Reviewed

Ono T., Egawa H., Ono Y., Ishikawa S., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics 899 - 903 2023.01

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

Morita K., Liu Z., Cao J., Ishikawa S., Nitta M., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics 888 - 893 2023.01

Recognition of Human Walking Motion Using a Wearable Camera Reviewed

Liu Z., Kurosaki T., Tan J.K.

ACM International Conference Proceeding Series 7 - 13 2022.11

Fruits and Vegetables Detection using the Improved YOLOv3 Reviewed International journal

Changhua Xu, Ziyue Liu, Joo Kooi Tan

Proceedings of the 2022 International Conference on Artificial Life and Robotics 1 - 5 2022.01

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

Japan

As the global aging intensifies, it is more convenient for a robot to go for buying things like fruits and vegetables instead of elderly, and it is more human-like to select items according to a user’s personal preferences such as maturity of fruits, sweetness, etc. However, Fruits and vegetables are generally displayed in a disorderly manner. Therefore, detection and recognition of fruits and vegetables is a difficult task for a robot. This paper proposes an improved YOLOv3 and also pre-training the networks to detect fruits and vegetables, we then using Bilinear-CNN to classify fruit’s maturity. The effectiveness of the proposed method is shown by experiments.

Collision Avoidance in a Human-Robot Coexistent Food Preparation Environment Using Hands Area Extraction Reviewed

Takaaaki Yotsumoto, Yuta Ono, Joo Kooi Tan

Proc. of The 2022 International Conference on Artificial Life and Robotics (ICAROB2022) ( Artificial Life and Robotics (ICAROB) ) 1 - 5 2022.01

An Object Acquisition Based on Human-Robot Cooperation Reviewed International journal

Kota Ito, Masuhiro Nitta, Seiji Ishikawa, Joo Kooi Tan

Proc. of The 2022 International Conference on Artificial Life and Robotics (ICAROB2022) ( Artificial Life and Robotics (ICAROB) ) 432 - 436 2022.01

Detecting Approaching Human Hands in a Human-Robot Coexistent Food Preparation Work Area for Preventing Collision Reviewed International journal

Tan Joo Kooi, Yotsumoto Takaaki, Ono Yuta

Journal of Robotics, Networking and Artificial Life ( ALife Robotics Corporation Ltd. ) 9 ( 3 ) 289 - 294 2022.01

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

In Japan, the population of working age between 15 and 64 years old peaked in 1995 at about 87 million and is expected to continue to decline in the future. Therefore, to solve the labor shortage, the introduction of industrial robots that can perform the same level of work as humans is strongly requested especially in the food preparation industry. In order to prevent danger to workers there, industrial robots must recognize workers and avoid them when there is fear of collision. In this paper, we propose a method for extracting hand regions based on the color distribution of a hand and GrabCut in an experimental environment to recognize human hands and detect their directions of approach. The proposed method was examined experimentally and gave satisfactory results.

DOI： 10.57417/jrnal.9.3_289

Scopus

CiNii Research

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85176549562&origin=inward

Supporting Safe Walk of a Visually Impaired Person at a Railway Station PlatformBased on MY VISION Reviewed

Kawaguchi Y., Ishikawa S., Shinomiya T., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics 447 - 450 2022.01

Fruits and Vegetables Detection using the Improved YOLOv3 Reviewed International journal

Xu C., Liu Z., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics 456 - 460 2022.01

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

Iizumi S., Tan J.K., Ono Y., Ishikawa S., Nitta M.

Proceedings of International Conference on Artificial Life and Robotics 451 - 455 2022.01

Collision Avoidance in a Human-Robot Coexistent Food Preparation Environment Using Hands Area Extraction Reviewed

Yotsumoto T., Ono Y., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics 442 - 446 2022.01

Detection of a Fallen Person and Estimation of the Head Position from UAV Images Reviewed

Egawa Haruka, Seiji Ishikawa, Joo Kooi Tan

Proc. of The 2021 International Conference on Artificial Life and Robotics (ICAROB2021) ( Artificial Life and Robotics (ICAROB) ) 279 - 282 2021.01

Bus Line Number Detection Employing MY VISION Reviewed

Ye Zhou, Joo Kooi Tan

Proc. of The 2021 International Conference on Artificial Life and Robotics (ICAROB2021) ( Artificial Life and Robotics (ICAROB) ) 291 - 294 2021.01

Abnormal Human Action Detection Based on GAN Reviewed

Tomoya Sano, Seiji Ishikawa, Joo Kooi Tan

Proc. of The 2021 International Conference on Artificial Life and Robotics (ICAROB2021) ( Artificial Life and Robotics (ICAROB) ) 287 - 290 2021.01

Development of a Pedestrian Crossing Navigation System for a Visually Impaired Person Using MY VISION Reviewed

Kouhei Kitagawa, Seiji Ishikawa, Joo Kooi Tan

Proc. of The 2021 International Conference on Artificial Life and Robotics (ICAROB2021) ( Artificial Life and Robotics (ICAROB) ) 283 - 286 2021.01

　 PREV - NEXT 　

<TANJO YUI>

Papers - TANJO YUI