Faculty Profiles - TANJO YUI

Papers - TANJO YUI

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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

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

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

Kitagawa Kohei, Ishikawa Seiji, Tan Joo Kooi

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 26 283 - 286 2021.01

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

In this paper, we propose a system for a visually impaired person to cross a pedestrian crossing safely by the employment of the state of a traffic light and the remaining distance to the other side obtained from the analysis of MY VISION images. The traffic light at a pedestrian crossing is detected by a discriminator using HOG (Histograms of Oriented Gradients) features and Random Forest. The effectiveness of the proposed method was verified by experiments.

DOI： 10.5954/icarob.2021.os14-2

CiNii Research

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

Egawa Haruka, Ishikawa Seiji, Tan Joo Kooi

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 26 279 - 282 2021.01

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

In order to search for victims in the event of a disaster, we propose a method of detecting a fallen person from UAV images and estimating its head position. Rotation-invariant HOG and Rotation-invariant LBP are used, so that they may detected a fallen person regardless of its body orientation. In addition, the position of the head of a fallen person is estimated using the peak of the gradient histogram. Experimental results show satisfactory performance of the proposed method.

DOI： 10.5954/icarob.2021.os14-1

CiNii Research

Bus Line Number Detection Employing MY VISION Reviewed International journal

Zhou Ye, Hamasaki Yosiki, Tan Joo Kooi

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 26 291 - 294 2021.01

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

In response to the requests from visually impaired people that they wish better assistance tools in their daily activities, and to the facts that they find difficulty in using public transportation, we propose a bus boarding support system using MY VISION. For the support, we detect a bus approaching a bus stop from MY VISION images employing Haar-like filters, and acquire the moving object area with the pyramidal Lucas-Kanade method. Then, we extract the frontal upper area displaying bus line number and the destination by random forest. Having obtained the area, a method of connecting area marking is used to obtain the bus line number area. The effectiveness of the proposed method is shown by experiments.

DOI： 10.5954/icarob.2021.os14-5

CiNii Research

Abnormal Human Action Detection Based on GAN Reviewed International journal

Sano Tomoya, Ishikawa Seiji, Tan Joo Kooi

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 26 287 - 290 2021.01

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

One of the important roles of a camera surveillance system is to detect abnormal human actions or events. In this study, we propose a method of abnormal human actions/events detection method using Generative Adversarial Nets (GAN). In anomaly action detection, the main problem is that the image data of abnormal human actions is more difficult to obtain than normal human actions. To solve this difficulty, we use only normal human action data in the employed training network and those actions not recognized as normal are judged as abnormal. Experimental results show effectiveness of the proposed method.

DOI： 10.5954/icarob.2021.os14-3

CiNii Research

Abnormal human action detection based on gan Reviewed

Sano T., Ishikawa S., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics 2021 287 - 290 2021.01

Bus line number detection employing my vision Reviewed

Zhou Y., Hamasaki Y., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics 2021 291 - 294 2021.01

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Papers - TANJO YUI