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Affiliation |
Engineering educational research section Information and Communication Technology Program |
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Title |
Professor |
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External Link |
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MUKUNOKI Masayuki
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Degree 【 display / non-display 】
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Doctor(Enginnering) ( 1999.7 Kyoto University )
Research Areas 【 display / non-display 】
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Informatics / Perceptual information processing
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Informatics / Intelligent informatics
Papers 【 display / non-display 】
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Takatsuka Kayoko, Nagatomo Yoki, Uchida Noriyuki, Ikeda Takuya, Mukunoki Masayuki, Okazaki Naonobu
Journal of Robotics, Networking and Artificial Life 10 ( 1 ) 17 - 24 2023.6
Language：English Publishing type：Research paper (scientific journal) Publisher：ALife Robotics Corporation Ltd.
This study aimed to reduce the effect of the examining environment on accuracy by using an eye movement detection system, a VR head-mounted display. We reproduced the inspection environment in a virtual reality environment and performed the cover test, a basic inspection technique for tropia and phoria. We then developed a system that uses eye data collected by eye tracking to detect the directions and magnitudes of eye misalignment. The Maddox method, an existing testing procedure, was used to verify the accuracy. We have confirmed its effectiveness in detecting the directions and magnitudes of horizontal eye misalignment.
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リレーアタック耐性とボット耐性の両立を目指したインタラクティブな動画CAPTCHAの提案と評価 Reviewed
油田 健太郎, 臼崎 翔太郎, 山場 久昭, 片山 徹郎, 椋木 雅之, 朴 美娘, 岡崎直宣
情報処理学会論文誌 62 ( 12 ) 1864 - 1878 2021.12
Language：Japanese Publishing type：Research paper (scientific journal)
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Development of a system to detect eye position abnormality based on eye-tracking Reviewed
Uchida N., Takatuka K., Yamaba H., Mukunoki M., Okazaki N.
Journal of Robotics, Networking and Artificial Life 8 ( 3 ) 205 - 210 2021.12
Language：English Publishing type：Research paper (scientific journal) Publisher：Journal of Robotics, Networking and Artificial Life
In previous research, we developed a method to automate the conventional evaluation of eye misalignment (cover test) and distinguish misaligned eyes from their movements. However, this method had the problem that vertical eye movements were affected by the eyelids and eyelashes, and could not be completely detected. To solve this problem, we have developed another method to recognize abnormalities by observing only the movement near the center of the pupil.
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Proposal and evaluation for color constancy CAPTCHA Reviewed
Usuzaki S., Aburada K., Yamaba H., Katayama T., Mukunoki M., Park M., Okazaki N.
Artificial Life and Robotics 26 ( 3 ) 291 - 296 2021.3
Language：English Publishing type：Research paper (scientific journal) Publisher：Artificial Life and Robotics
CAPTCHAs are technologies that distinguish humans and bot to prevent illegal access. Unfortunately, current CAPTCHAs, even the latest Google reCAPTCHA, have already broken with high accuracy. Although the devices, including emphasizing the distortion of the text and adding noise to the image, improve the machine resistance, they may decrease the accessibility of the web page. The purpose of this study is to propose a new CAPTCHA that can decrease the machine resistance while keeping usability. To achieve this purpose, we focused on color constancy. Color constancy is a human’s characteristic that enables humans to recognize the original color of the object by ignoring the effects of illumination light. Color constancy has not been fully reproduced by the program yet. We proposed color constancy CAPTCHA that the user is required to answer an original color of the object in a specified area on the CAPTCHA image with a color filter. In this paper, we created a prototype of CAPTCHA, applied two kinds of color filters, and then evaluated each case for the human success rate, machine success rate, and usability.
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FMD-VS: A virtual sensor to index FMD virus scattering Reviewed
Takatsuka K., Sekiguchi S., Yamaba H., Aburada K., Mukunoki M., Okazaki N.
PLoS ONE 15 ( 9 September ) 2020.9
Language：English Publishing type：Research paper (international conference proceedings) Publisher：PLoS ONE
© 2020 Takatsuka et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Foot-and-mouth disease (FMD) models—analytical models for tracking and analyzing FMD outbreaks—are known as dominant tools for examining the spread of the disease under various conditions and assessing the effectiveness of countermeasures. There has been some remarkable progress in modeling research since the UK epidemic in 2001. Several modeling methods have been introduced, developed, and are still growing. However, in 2010 when a FMD outbreak occurred in the Miyazaki prefecture, a crucial problem reported: Once a regional FMD outbreak occurs, municipal officials in the region must make various day-today decisions throughout this period of vulnerability. The deliverables of FMD modeling research in its current state appear insufficient to support the daily judgments required in such cases. FMD model can be an efficient support tool for prevention decisions. It requires being conversant with modeling and its preconditions. Therefore, most municipal officials with no knowledge or experience found full use of the model difficult. Given this limitation, the authors consider methods and systems to support users of FMD models who must make real-time epidemic-related judgments in the infected areas. We propose a virtual sensor, designated “FMD-VS,” to index FMD virus scattering in conditions where there is once a notion of FMD; and (2) shows how we apply the developed FMD-VS technique during an outbreak. In (1), we show our approach to constructing FMD-VS based on the existing FMD model and offer an analysis and evaluation method to assess its performance. We again present the results produced when the technique applied to 2010 infection data from the Miyazaki Prefecture. For (2), we outline the concept of a method that supports the prevention judgment of municipal officials and show how to use FMD-VS.
MISC 【 display / non-display 】
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背景モデル構築のための画像類似性と時間的スパース性を考慮した画像選択法
清水渚佐;川西康友;椋木雅之;美濃導彦
情報処理学会研究報告(CD-ROM) 2012 ( 6 ) ROMBUNNO.CVIM-186,NO.12 2013.4
Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal)
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“ 画像からの物体検出と物体領域分割の統合手法”
Jarich Vansteenberge,椋木雅之,美濃導彦
ICT イノベーショ ン2013，2013-02 2013
Language：English Publishing type：Article, review, commentary, editorial, etc. (bulletin of university, research institution)
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講義室での受講生の振る舞い観測と理解度推定の研究
椋木雅之，美濃導彦
人工知能学会全国大会(第26回), 1F2-OS-11-7, pp.1-4 2012.6
Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal)
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写真撮影情報と観光スポットの相関分析
笠原 秀一, 森 幹彦, 椋木 雅之, 美濃 導彦
観光情報学会総会 2012.5
Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal)
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京都大学における Sakai 実装の現状と課題
梶田将司，元木環，椋木 雅之，平岡斉士
情処研報 CLE 2012.5
Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal)
Presentations 【 display / non-display 】
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強化学習法におけるn-step returnの改良
中根 勇樹, 片山 晋, 椋木 雅之
火の国情報シンポジウム2024 2024.3.14
Event date： 2024.3.13 - 2024.3.14
Language：Japanese Presentation type：Oral presentation (general)
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深層学習を用いた服飾品自動分類の コーディネート推薦における有効性の調査
倉永 将宏, 椋木 雅之
火の国情報シンポジウム2024 2024.3.13
Event date： 2024.3.13 - 2024.3.14
Language：Japanese Presentation type：Oral presentation (general)
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携帯端末を用いた簡便な音場測定と可視化
Adam Manato Maeda Bin Amizan, 椋木 雅之
火の国情報シンポジウム2024 2024.3.13
Event date： 2024.3.13 - 2024.3.14
Language：Japanese Presentation type：Oral presentation (general)
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Proposal of Fill in the Missing Letters CAPTCHA Using Associations from Images International conference
Hisaaki Yamaba, Muhammad Nur Firdaus Bin Mustaza, Shotaro Usuzaki, Kentaro Aburada, Masayuki Mukunoki, Mirang Park, Naonobu Okazaki
International Conference on Genetic and Evolutionary Computing(ICGEC) 2023 2023.10
Event date： 2023.10
Language：English Presentation type：Oral presentation (general)
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滞留状態と二段階マッチングを追加した SORT による複数小動物の同時追跡
長友 祐磨, 椋木 雅之, 高塚 佳代子
2023年度電気・情報関係学会九州支部連合大会 2023.9.7
Event date： 2023.9.7 - 2023.9.8
Language：Japanese Presentation type：Oral presentation (general)
Grant-in-Aid for Scientific Research 【 display / non-display 】
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深層学習による複数種類の動物に対する顔画像からの個体識別の特性比較
Grant number：23K11151 2023.04 - 2026.03
独立行政法人日本学術振興会 科学研究費基金 基盤研究（C）
Authorship：Principal investigator
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講義中の受講者の振る舞いと理解度の関係解析
2013.04 - 2016.03
科学研究費補助金 基盤研究(C)
Authorship：Principal investigator
本研究では，講義中の受講者の振る舞いから，その受講者が講義内容をどの程度理解できているかを推定することを目指す．そのために，「ビデオカメラ等で観測した受講者の振る舞いを計算機により自動的に分類する技術」「受講者に対して講義中に実施する講義の理解度アンケートや講義内容に関する小テストの結果から，受講者の理解度を客観的に推定する技術」「求めた客観的理解度を Ground Truth とみなして，分類した受講者の振る舞いとの関連を求めることで，受講者の振る舞いから客観的理解度を推定する技術」の３つの技術を開発する．
Available Technology 【 display / non-display 】
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牛顔画像による個体識別と情報提示
画像からの実物体の３次元モデル作成技術の開発
野球放送映像からの情報抽出と情報付加Home Page： 椋木研究室：
Related fields where technical consultation is available：・画像処理，画像認識技術に関する問題一般
・風景画像認識，画像検索，人物照合，映像メディア処理等のテーマも対応可能です．Message：画像処理，画像認識の実応用の可能性について，情報を求めています．皆さんの抱えている問題を画像認識技術で解決できないか，といったご相談もお受け致しますので，是非，ご連絡下さい．