Faculty Profiles - TANJO YUI

Papers - TANJO YUI

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Automatic segmentation of cell candidate regions in microscopy images based on an optimization algorithm Reviewed

720 - 723 2017.01

On detecting sudden rush-out pedestrians Reviewed

Ono Yuta, Tan Joo Kooi, Kim Hyoungseop,Ishikawa Seiji

The Twenty-Second International Symposium on Artificial Life and Robotics 2017 446 - 449 2017.01

Moving objects detection employing iterative update of the background Reviewed

F.X.Arinto S. Tan, J.K., Kim, H., Ishikawa S.

Artificial Life and Robotics, Springer 22 ( 2 ) 168 - 174 2017.01

Automatic identification of circulating tumor cells in fluorescence microscopy images based on logical conjunction of cell regions

TSUJI Kouki, LU Huimin, TAN Joo Kooi, KIM Hyoungseop, YONEDA Kazue, TANAKA Fumihiro

Medical Imaging and Information Sciences 34 ( 4 ) 151 - 155 2017.01

Detection of Ground Glass Opacity Regions on LIDC Datasets Using DCNN Reviewed

HIRAYAMA Kazuki, LU Huimin, TAN Joo Kooi, KIM Hyoungseop, TACHIBANA Rie, HIRANO Yasushi, KIDO Shoji

Medical Imaging and Information Sciences 34 ( 2 ) 70 - 74 2017.01

An Ego-camera based finger-spelling recognition system Reviewed

Tan Joo Kooi, Hamada Satoshi , Hirakawa Manabu, Kim Hyoungseop, Ishikawa Seiji

IEEE Region Ten Conference(2016 IEEE TENCON) 359 - 364 2016.11

Identify rheumatoid arthritis and osteoporosis from phalange CR images based on image registration and ANN Reviewed

10 ( 10 ) 2435 - 2440 2016.10

A method of detecting salient regions employing global and local saliency Reviewed

7 ( 3 ) 555 - 561 2016.03

A method of detecting salient regions employing global and local saliency Reviewed

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

ICIC Express Letters Part B: Application 7 ( 3 ) 555 - 561 2016.03

Detecting pedestrian and extracting their attributes from self-mounted camera views Reviewed

7 ( 2 ) 279 - 286 2016.02

Traffic signs and signals detection employing the my vision system for a visually impaired person Reviewed

7 ( 2 ) 385 - 391 2016.02

Traffic signs and signals detection employing the MY VISION system for a visually impaired person Reviewed

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

ICIC Express Letters Part B: Application 7 ( 2 ) 385 - 399 2016.02

Detecting pedestrian and extracting their attributes from self-mounted camera views Reviewed

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

ICIC Express Letters Part B: Application 7 ( 2 ) 279 - 286 2016.02

SpatioTemporal LBP and shape feature for human activity representation and recognition Reviewed

Sk. Md. Masudul Ahsan., Tan J.K., Kim H., Ishikawa S.

International Journal of Innovative Computing, Information and Control 12 ( 1 ) 1 - 13 2016.02

Moving objects detection from dynamic backgrounds Reviewed

FX A Setyawan, Tan, J.K., Kim, H., Ishikawa, S.

Proceedings of The Twenty-First International Symposium on Artificial Life and Robotics 2016 254 - 257 2016.01

Boundary aware regional contrast based visual saliency detection Reviewed

Sk. Md. M. Ahsan, Tan, J.K., Kim, H., Ishikawa, S.

Proceedings of The Twenty-First International Symposium on Artificial Life and Robotics 2016 258 - 262 2016.01

Detection Method for Candidate Regions of Ground Glass Opacity on LIDC Database Using Image Features Reviewed

Yokota Keisuke, Kim Hyoungseop, Tan Joo Kooi, Ishikawa Seiji, Tachibana Rie, Hirano Yasushi, Kido Shoji, Aoki Takatoshi

The Journal of The Institute of Image Information and Television Engineers 70 ( 8 ) J178 - J184 2016.01

Human Action Recognition Using 3D-MHIs for Elderly Care

YAMASHITA Youtarou, TAN Joo Kooi, KIM Hyoungseop, ISHIKAWA Seiji

Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association ( Biomedical Fuzzy Systems Association ) 29 ( 0 ) 33 - 36 2016.01

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

Nowadays the population of elderly people who live alone has been growing continuously. When they encounter an accident at home, they won't be able to ask for help in the worst case. Under these circumstances, development of an automatic system to care elderly people living alone becomes increasingly important. We have been developing a computer vision system which finds abnormal motions of elderly people among their daily activities indoors. In this paper, we propose a new method of human motion representation called 3D-MHIs (3-dimensional-Motion History Image) based on FoE (Focus of Expansion) and a method of human motion recognition employing 3-D Hu moments by use of a single camera view. The method can recognize not only those motions parallel to a camera lens but also those motions toward depth direction. The effectiveness of the proposed method was experimentally shown.

DOI： 10.24466/pacbfsa.29.0_33

CiNii Article

Other Link： https://ci.nii.ac.jp/naid/130007979895

Automatic segmentation of phalanges regions on MR images based on MSGVF snakes Reviewed

1547 - 1550 2015.12

Development of image viewer for analyzing of temporal subtraction from chest CT images Reviewed

1543 - 1546 2015.12

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Papers - TANJO YUI