Faculty Profiles - TANJO YUI

Papers - TANJO YUI

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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 International journal

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 Article

CiNii Research

Other Link： https://kyutech.repo.nii.ac.jp/records/7005

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

Development of a pedestrian crossing navigation system for a visually impaired person using my vision Reviewed

Kitagawa K., Ishikawa S., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics 2021 283 - 286 2021.01

Detection of a fallen person and estimation of the head position from uav images Reviewed

Egawa H., Ishiakwa S., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics 2021 279 - 282 2021.01

Detection of a Fallen Person from UAV Images Using Rotation Invariant Features

EGAWA Haruka, ISHIKAWA Seiji, TAN Joo Kooi

Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association ( Biomedical Fuzzy Systems Association ) 33 ( 0 ) 91 - 94 2020.10

Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

In recent years, aerial photography has been used to search for victims in the event of a disaster. Searching from the sky enables quick search activities in places that are difficult to enter. In this paper we propose a method of detecting a person fallen on the ground from images taken by a camera mounted on a UAV(multicopter). Unlike pedestrians, a fallen person takes various postures, and the orientation of the head in an image is not identical. Therefore, it is necessary to develop a method which is robust to various orientations of a fallen person. In the proposed method, Ri-HOG features and Ri-LBP features invariant to object orientation are employed for representing a fallen person, and the fallen person is detected by a classifier constructed using Random Forest. The effectiveness of the proposed method was verified by experiments.

DOI： 10.24466/pacbfsa.33.0_91

CiNii Article

CiNii Research

Detection of Circulating Tumor Cells in Fluorescence Microscopy Images Based on ANN Classifier Reviewed

Tsuji K., Lu H., Tan J.K., Kim H., Yoneda K., Tanaka F.

Mobile Networks and Applications 25 ( 3 ) 1042 - 1051 2020.06

Detection of Circulating Tumor Cells in Fluorescence Microscopy Images Based on ANN Classifier Reviewed International journal

25 ( ３ ) 1042 - 105１ 2020.06

Ego-posture estimation for a pedestrian using a monocular wearable camera Reviewed International journal

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

2020 5th International Conference on Computer and Communication Systems, ICCCS 2020 409 - 412 2020.05

Detecting Pedestrians and Moving Directions by a MY VISION System Reviewed

Kenta Hori, Seji Ishikawa, Joo Kooi Tan

Proc. of The 2020 International Conference on Artificial Life and Robotics (ICAROB2020) ( Artificial Life and Robotics (ICAROB) ) 775 - 778 2020.01

Development of an Environmentally Adaptable Autonomous Mobile Robot Reviewed

Naokazu Iwata, Joo Kooi Tan

Proc. of The 2020 International Conference on Artificial Life and Robotics (ICAROB2020) ( Artificial Life and Robotics (ICAROB) ) 469 - 472 2020.01

Human motion recognition using TMRIS Reviewed

Jing Cao, JooKooi Tan

Proc. of The 2020 International Conference on Artificial Life and Robotics (ICAROB2020) ( Artificial Life and Robotics (ICAROB) ) 779 - 782 2020.01

Estimation of Self-Posture of a Pedestrian Using MY VISION and Deep Learning Reviewed

Tomoyuki Kurosaki, Joo Kooi Tan

Proc. of The 2020 International Conference on Artificial Life and Robotics (ICAROB2020) ( Artificial Life and Robotics (ICAROB) ) 485 - 489 2020.01

Supervoxel Graph Cuts: An Effective Method for GGO Candidate Regions Extraction on CT Images Reviewed

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

IEEE Consumer Electronics Magazine 9 ( 1 ) 61 - 66 2020.01

Development of an environmentally adaptable autonomous mobile robot Reviewed

Naokazu I., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics 2020 469 - 472 2020.01

Supervoxel Graph Cuts: An Effective Method for GGO Candidate Regions Extraction on CT Images Reviewed International journal

IEEE Consumer Electronics Magazine 9 ( 1 ) 61 - 66 2020.01

Detecting pedestrians and their moving directions by a my vision system Reviewed

Hori K., Ishikawa S., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 2020 775 - 778 2020.01

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

This paper proposes a pedestrian detection method using a MY VISION system, which is an image processing system employing an ego-camera. First, a flow area different from the camera movement is extracted on the images from a user's head-mounted camera. The area is a candidate area where pedestrians may exist. Second, MSC-HOG features are calculated to detect pedestrians. HOF feature is then computed to recognize the moving direction of the detected pedestrians. Experimental results show effectiveness of the proposed method.

DOI： 10.5954/ICAROB.2020.GS3-1

Scopus

CiNii Research

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85108810327&origin=inward

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