Faculty Profiles - TANJO YUI

Papers - TANJO YUI

Division display61 - 80 of about 601／ All the affair displays >>

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

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

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

Human motion recognition using tmris Reviewed

Jing C., Yamashita Y., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 2020 779 - 782 2020.01

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

With the aggravation of the aging trend in Japan, the number of elderly people living alone has gradually increased, and the development of elderly people care system has begun to receive attention. Considering this trend, the paper proposes a MHI(Motion History Image)-based method called TMRIs (Triplet Motion Representation Images) that solve in recognition, a self-occlusive motion problem particularly in the depth direction using a single camera. The performance and effectiveness of the method are verified by experiments.

DOI： 10.5954/ICAROB.2020.GS3-2

Scopus

CiNii Research

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85108809693&origin=inward

Estimation of self-posture of a pedestrian using my vision and deep learning Reviewed

Kurosaki T., Tan J.K.

Proceedings of International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 2020 485 - 489 2020.01

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

A system is proposed that performs gait analysis of a pedestrian to prevent fall. In the system, a user walks with a chest-mounted camera. His/her walking posture is estimated using a pair of images obtained from the camera. Normally it is difficult to estimate the camera movement, when the parallax of the image pair is small. Therefore, the system uses a convolutional neural network. Optical flow and camera movement, and depth images are estimated alternately. Satisfactory results were obtained experimentally.

DOI： 10.5954/ICAROB.2020.GS1-2

Scopus

CiNii Research

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85108785176&origin=inward

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

Cargo Position Measurement Using Epipolar Geometry for Logistics Automation

FUKUDA Kazuki, MAEOKA Takuji, TAN Joo Kooi

Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association ( Biomedical Fuzzy Systems Association ) 32 ( 0 ) B1-3 2019.11

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

In recent years, the labor shortage has become a serious problem in logistics industries. In particular, among the five major functions of logistics, most of the storage and cargo handling operations are performed manually using forklifts. This problem can be solved by automating the process. In this paper, we propose a method to acquire the position of cargo from the images taken by two fixed cameras in a warehouse and the relative distance information between a transport vehicle and the cargo using the camera attached to the vehicle. The effectiveness of the proposed methods is shown by experiments.

DOI： 10.24466/pacbfsa.32.0_b1-3

CiNii Article

CiNii Research

Saliency Detection using the Combination of Boundary Aware Color-map and Seam-map Reviewed

Aminul Islam, Sk. Md. Masudul Ahsan, Joo Kooi Tan

IEEE Proceedings of International Conference on Computer Communication Chemical Materials and Electronic Engineering(IC4ME2-2019)2019 1 - 4 2019.07

Saliency Detection using the Combination of Boundary Aware Color-map and Seam-map Reviewed

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

5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IC4ME2 2019 2019.07

　 PREV - NEXT 　

<TANJO YUI>

Papers - TANJO YUI