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Development of image information analysis infrastructure in navigation and classification of human behavior

Planned Research

Project AreaSystems Science of Bio-navigation
Project/Area Number 16H06540
Research Category

Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

Allocation TypeSingle-year Grants
Review Section Complex systems
Research InstitutionNagoya Institute of Technology (2020)
Hiroshima University (2016-2019)

Principal Investigator

Toru Tamaki  名古屋工業大学, 工学(系)研究科(研究院), 教授 (10333494)

Co-Investigator(Kenkyū-buntansha) 藤吉 弘亘  中部大学, 工学部, 教授 (20333172)
Project Period (FY) 2016-06-30 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥60,320,000 (Direct Cost: ¥46,400,000、Indirect Cost: ¥13,920,000)
Fiscal Year 2020: ¥12,870,000 (Direct Cost: ¥9,900,000、Indirect Cost: ¥2,970,000)
Fiscal Year 2019: ¥13,260,000 (Direct Cost: ¥10,200,000、Indirect Cost: ¥3,060,000)
Fiscal Year 2018: ¥15,470,000 (Direct Cost: ¥11,900,000、Indirect Cost: ¥3,570,000)
Fiscal Year 2017: ¥15,210,000 (Direct Cost: ¥11,700,000、Indirect Cost: ¥3,510,000)
Fiscal Year 2016: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Keywordsナビゲーション / 軌跡 / 行動認識 / 深層学習 / 機械学習 / GPS軌跡 / 映像認識 / 動作認識 / ディープラーニング / 人物軌跡 / 行動解析 / 人物検出 / 移動軌跡
Outline of Final Research Achievements

The purpose of this research is to develop stable and robust recognition technology for images and videos including self-movement, obtained from cameras attached to wild animals and pets, taken by humans, which are difficult to handle by conventional methods, and to establish technology foundation for image and video information analysis. As the results of our research, we developed methods for recognizing video and GPS records attached to wild animals, a highly accurate method for human action recognition, a method for analyzing human behavior, and a method for localization from multichannel signals.

Academic Significance and Societal Importance of the Research Achievements

開発したGPS軌跡の解析手法はこれまでにない方法論による新たなものであり,野生生物の内的動機の分析など新たな生物学的知見へとつながることが期待される.また人物行動軌跡の解析手法は人流を解析して分類・分割を行う新たなツールとして様々な分野へ応用することが可能である.

Report

(6 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • 2017 Annual Research Report
  • 2016 Annual Research Report
  • Research Products

    (87 results)

All 2021 2020 2019 2018 2017 2016 Other

All Journal Article (26 results) (of which Int'l Joint Research: 3 results,  Peer Reviewed: 22 results,  Open Access: 13 results,  Acknowledgement Compliant: 1 results) Presentation (58 results) (of which Int'l Joint Research: 17 results,  Invited: 3 results) Remarks (2 results) Funded Workshop (1 results)

  • [Journal Article] Localization of flying Bats from Multi-Channel Audio Signals by estimating location map with convolutional neural networks2021

    • Author(s)
      Kazuki Fujimori, Bisser Raytchev, Kazufumi Kaneda, Yasufumi Yamada, Yu Teshima, Emyo Fujioka, Shizuko Hiryu, and Toru Tamaki
    • Journal Title

      Journal of Robotics and Mechatronics

      Volume: 33

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Rephrasing Visual Questions by Specifying the Entropy of the Answer Distribution2020

    • Author(s)
      TERAO Kento、TAMAKI Toru、RAYTCHEV Bisser、KANEDA Kazufumi、SATOH Shin'ichi
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E103.D Issue: 11 Pages: 2362-2370

    • DOI

      10.1587/transinf.2020EDP7089

    • NAID

      130007933953

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2020-11-01
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] An Entropy Clustering Approach for Assessing Visual Question Difficulty2020

    • Author(s)
      Terao Kento、Tamaki Toru、Raytchev Bisser、Kaneda Kazufumi、Satoh Shin'ichi
    • Journal Title

      IEEE Access

      Volume: 8 Pages: 180633-180645

    • DOI

      10.1109/access.2020.3022063

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Path Predictions by LSTM Using Object Attributes and Semantic Environment2020

    • Author(s)
      MINOURA Hiroaki、HIRAKAWA Tsubasa、YAMASHITA Takayoshi、FUJIYOSHI Hironobu
    • Journal Title

      Journal of the Japan Society for Precision Engineering

      Volume: 86 Issue: 12 Pages: 961-968

    • DOI

      10.2493/jjspe.86.961

    • NAID

      130007950495

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Meaning Guided Video Captioning2020

    • Author(s)
      Babariya Rushi J.、Tamaki Toru
    • Journal Title

      Lecture Notes in Computer Science

      Volume: 12047 Pages: 478-488

    • DOI

      10.1007/978-3-030-41299-9_37

    • ISBN
      9783030412982, 9783030412999
    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] 移動軌跡のデータサイエンス2020

    • Author(s)
      玉木徹
    • Journal Title

      生物の科学 遺伝

      Volume: 74 Pages: 236-240

    • Related Report
      2019 Annual Research Report
  • [Journal Article] Survey on Vision-based Path Prediction2019

    • Author(s)
      平川 翼、山下 隆義、玉木 徹、藤吉 弘亘
    • Journal Title

      電子情報通信学会論文誌D 情報・システム

      Volume: J102-D Issue: 2 Pages: 53-67

    • DOI

      10.14923/transinfj.2018JDR0003

    • ISSN
      1880-4535, 1881-0225
    • Year and Date
      2019-02-01
    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] High-Resolution Representation for Mobile Mapping Data in Curved Regular Grid Model2019

    • Author(s)
      Su Jingxin、Miyazaki Ryuji、Tamaki Toru、Kaneda Kazufumi
    • Journal Title

      Sensors

      Volume: 19 Issue: 24 Pages: 5373-5373

    • DOI

      10.3390/s19245373

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 動画像を用いた深層学習に基づく経路予測2019

    • Author(s)
      平川翼
    • Journal Title

      画像ラボ

      Volume: 7 Pages: 1-7

    • Related Report
      2019 Annual Research Report
  • [Journal Article] Improved Activity Forecasting for Generating Trajectories2019

    • Author(s)
      Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda and Ken Yoda
    • Journal Title

      Proc. of The International Workshop on Frontiers of Computer Vision (FCV2019)

      Volume: -

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Path Predictions using Object Attributes and Semantic Environment2019

    • Author(s)
      Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita and Hironobu Fujiyoshi
    • Journal Title

      Proceedings of the Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Application (VISAPP)

      Volume: 5 Pages: 19-26

    • DOI

      10.5220/0007297500190026

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] 3D Modeling of Lane Marks Using a Combination of Images and Mobile Mapping Data2018

    • Author(s)
      Su Jingxin、Miyazaki Ryuji、Tamaki Toru、Kaneda Kazufumi
    • Journal Title

      International Journal of Automation Technology

      Volume: 12 Issue: 3 Pages: 386-394

    • DOI

      10.20965/ijat.2018.p0386

    • NAID

      130007387449

    • ISSN
      1881-7629, 1883-8022
    • Year and Date
      2018-05-05
    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Semantic segmentation of trajectories with improved agent models for pedestrian behavior analysis2018

    • Author(s)
      Tamaki Toru、Ogawa Daisuke、Raytchev Bisser、Kaneda Kazufumi
    • Journal Title

      Advanced Robotics

      Volume: 33 Issue: 3-4 Pages: 153-168

    • DOI

      10.1080/01691864.2018.1554508

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Can AI predict animal movements? Filling gaps in animal trajectories using inverse reinforcement learning2018

    • Author(s)
      Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi, Yuta Umezu, Ichiro Takeuchi, Sakiko Matsumoto, Ken Yoda
    • Journal Title

      Ecosphere

      Volume: 9 Issue: 10 Pages: 1-24

    • DOI

      10.1002/ecs2.2447

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Survey on Vision-Based Path Prediction2018

    • Author(s)
      Hirakawa Tsubasa、Yamashita Takayoshi、Tamaki Toru、Fujiyoshi Hironobu
    • Journal Title

      Lecture Notes in Computer Science

      Volume: 10922 Pages: 48-64

    • DOI

      10.1007/978-3-319-91131-1_4

    • ISBN
      9783319911304, 9783319911311
    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Semantic segmentation of trajectories with agent models2018

    • Author(s)
      Daisuke Ogawa, Toru Tamaki, Bisser Raytchev and Kazufumi Kaneda
    • Journal Title

      Proc. of The International Workshop on Frontiers of Computer Vision (FCV2018)

      Volume: NA

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Travel Time-dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction2017

    • Author(s)
      Tsubasa Hirakawa, Takayoshi Yamasita, Ken Yoda, Toru Tamaki, Hironobu Fujiyoshi
    • Journal Title

      Proc. of Asian Conference on Pattern Recognition (ACPR2017)

      Volume: NA

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Tree-wise Discriminative Subtree Selection for Texture Image Labeling2017

    • Author(s)
      Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Chaohui Wang, Laurent Najman
    • Journal Title

      IEEE Access

      Volume: 5 Pages: 13617-13634

    • DOI

      10.1109/access.2017.2725319

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Human Trajectory Analysis and Activity Prediction in Videos2017

    • Author(s)
      玉木 徹、平川 翼、山下 隆義、藤吉 弘亘
    • Journal Title

      Journal of the Robotics Society of Japan

      Volume: 35 Issue: 8 Pages: 610-615

    • DOI

      10.7210/jrsj.35.610

    • NAID

      130006201596

    • ISSN
      0289-1824, 1884-7145
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Revisiting hand-crafted feature for action recognition: a set of improved dense trajectories2017

    • Author(s)
      Kenji Matsui, Toru Tamaki, Gwladys Auffret, Bisser Raytchev, Kazufumi Kaneda
    • Journal Title

      CoRR

      Volume: abs/1711.10143

    • Related Report
      2017 Annual Research Report
    • Open Access / Int'l Joint Research
  • [Journal Article] Effect of Additive Noise for Multi-Layered Perceptron with AutoEncoders2017

    • Author(s)
      Motaz Sabri, and Takio Kurita
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E100.D Issue: 7 Pages: 1494-1504

    • DOI

      10.1587/transinf.2016EDP7468

    • NAID

      130006792948

    • ISSN
      0916-8532, 1745-1361
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Gated spatio and temporal CNN for Action Recognition: Towards Gated Multimodal Deep Learning2017

    • Author(s)
      Novanto Yudistira and Takio Kurita
    • Journal Title

      EURASIP Journal on Image and Video Processing

      Volume: 85 Issue: 1 Pages: 1-12

    • DOI

      10.1186/s13640-017-0235-9

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Temporal evolution of motion superpixel for video classification2017

    • Author(s)
      Novanto Yudistira and Takio Kurita
    • Journal Title

      The 3rd IEEE Interna8onal Conference on Cyberne8cs

      Volume: NA Pages: 1-6

    • DOI

      10.1109/cybconf.2017.7985816

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Trajectory-Set feature for action recognition2017

    • Author(s)
      Kenji MATSUI, Toru TAMAKI, Bisser RAYTCHEV, Kazufumi KANEDA
    • Journal Title

      IEICE Trans. on Information and Systems

      Volume: E100-D

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Image Feature Descriptors for Recognition2017

    • Author(s)
      玉木徹
    • Journal Title

      Medical Imaging Technology

      Volume: 35 Issue: 1 Pages: 23-28

    • DOI

      10.11409/mit.35.23

    • NAID

      130005308481

    • ISSN
      0288-450X, 2185-3193
    • Related Report
      2016 Annual Research Report
  • [Journal Article] Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine2016

    • Author(s)
      Akinori Hidaka and Takio Kurita
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E99.D Issue: 11 Pages: 2734-2744

    • DOI

      10.1587/transinf.2016EDP7081

    • NAID

      130005268181

    • ISSN
      0916-8532, 1745-1361
    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] p-TSM: Learning to shift temporal features point-wise for action recognition2021

    • Author(s)
      Wataru Fuji, Bisser Raytchev, Kazufumi Kaneda, Toru Tamaki
    • Organizer
      The 27th International Workshop on Frontiers of Computer Vision (IW-FCV2021)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Weakly supervised temporal action localization with additional sub networks for local spatial information2021

    • Author(s)
      Komiki Maruyama, Bisser Raytchev, Kazufumi Kaneda, Toru Tamaki
    • Organizer
      The 27th International Workshop on Frontiers of Computer Vision (IW-FCV2021)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Weakly supervised temporal action localization with spatial information2020

    • Author(s)
      丸山虎実輝, 玉木徹, Bisser Raychev, 金田和文
    • Organizer
      第23回 画像の認識・理解シンポジウム (MIRU2020)
    • Related Report
      2020 Annual Research Report
  • [Presentation] Learning channels to shift fortemporal shift module2020

    • Author(s)
      藤井渉, 玉木徹, Bisser Raytchev, 金田和文
    • Organizer
      第23回 画像の認識・理解シンポジウム (MIRU2020)
    • Related Report
      2020 Annual Research Report
  • [Presentation] Deep Learningを用いた経路予測の研究動向2020

    • Author(s)
      箕浦大晃, 平川翼, 山下隆義, 藤吉弘亘
    • Organizer
      電子情報通信学会技術報告, パターン認識・メディア理解研究会, PRMU2020-29
    • Related Report
      2020 Annual Research Report
  • [Presentation] Pose Estimation of Excavators2020

    • Author(s)
      Hinako Nakamura, Yumeno Tsukada, Toru Tamaki, Bisser Raytchev and Kazufumi Kaneda, Pose Estimation of Excavators
    • Organizer
      The 23rd International Workshop on Advanced Image Technology (IWAIT2020)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Method for Rendering Wavelength-dependent Phenomena Using Spectral Image-based Lighting2020

    • Author(s)
      Toru Nagai, Bisser Raytchev, Toru Tamaki and Kazufumi Kaneda
    • Organizer
      The 23rd International Workshop on Advanced Image Technology (IWAIT2020)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Video Captioning with Dot Attention2020

    • Author(s)
      Komiki Maruyama, Toru Tamaki, Bisser Raytchev and Kazufumi Kaneda
    • Organizer
      The International Workshop on Frontiers of Computer Vision (IW-FCV2020)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 深層学習時代のコンピュータビジョンと画像認識2020

    • Author(s)
      玉木徹
    • Organizer
      2020年電子情報通信学会総合大会
    • Related Report
      2019 Annual Research Report
    • Invited
  • [Presentation] A Projection Mapping System onto a Human Body for Medical Applications2019

    • Author(s)
      Ryo Fukuhara, Kazufumi Kaneda, Toru Tamaki, Bisser Raytchev, Toru Higaki, Soh Nishimoto, Yohei Sotsuka
    • Organizer
      EUROGRAPHICS 2019
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images2019

    • Author(s)
      Shohei Hayashi, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda
    • Organizer
      Machine Learning in Medical Imaging (MLMI 2019) in conjunction with MICCAI 2019
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Hardware Implementation of Colorectal Tumor Classification for Endoscopic Video on Customizable DSP Toward Real-Time Computer-Aided Diagnosis System2019

    • Author(s)
      Masayuki Odagawa, Takumi Okamoto, Tetsushi Koide, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka, Takayuki Sugawara, Hiroshi Toishi, Masayuki Tsuji, Nobuo Tamba
    • Organizer
      IEEE International Symposium on Circuits and Systems (ISCAS2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Meaning Guided Video Captioning2019

    • Author(s)
      Rushi J. Babariya, Toru Tamaki
    • Organizer
      The 5th Asian Conference on Pattern Recognition (ACPR 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Physically Based Color Restoration of Underwater Images Considering Scattering and Absorption2019

    • Author(s)
      Yoshiaki Yamamoto, Kouhei Omote, Kazufumi Kaneda, Toru Tamaki, Bisser Raychev, Masashi Baba
    • Organizer
      The 6th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] アテンション機構を用いた動画キャプション生成2019

    • Author(s)
      丸山 虎実輝, 玉木 徹, Bisser Raychev, 金田 和文
    • Organizer
      第22回 画像の認識・理解シンポジウム (MIRU2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] スパイキングニューロンモデルを用いた質問応答システムにおけるホログラフィック圧縮表現の評価2019

    • Author(s)
      岩尾 桂志, ライチェフ ビセル, 玉木 徹, 金田 和文
    • Organizer
      人工知能学会全国大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 生物学的な特徴を考慮したスパイキングニューラルネットワークにおける動作認識2019

    • Author(s)
      原田 壮一郎, Bisser Raytchev,玉木 徹,金田 和文
    • Organizer
      第29 回日本神経回路学会全国大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 人間の視野特性を用いて注視領域と構造情報を考慮した医用画像セグメンテーション2019

    • Author(s)
      林 祥平, ライチェフ ビセル, 玉木 徹, 金田 和文
    • Organizer
      第21回IEEE広島支部学生シンポジウム(HISS)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Position estimation using multi-channel audio signals2019

    • Author(s)
      Kazuki Fujimori, Bisser Raytchev, Kazufumi Kaneda, Emyo Fujioka, Shizuko Hiryu and Toru Tamaki
    • Organizer
      ACML2019 workshop on Machine Learning for Trajectory, Activity, and Behavior (ACML-TAB)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] On Trajectory Interpolation using LSTM2019

    • Author(s)
      Ryota Tomonaka, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda and Ken Yoda
    • Organizer
      ACML2019 workshop on Machine Learning for Trajectory, Activity, and Behavior (ACML-TAB)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 1SC-RRT*を用いた自動運転のための経路生成2019

    • Author(s)
      成瀬柊平, 家崎遥, 平川翼, 山下隆義, 藤吉弘亘
    • Organizer
      第25回画像センシングシンポジウム (SSII2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Automatic Creation of Path Information on Digital Map2019

    • Author(s)
      Haruka Iesaki, Shuhei Naruse, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
    • Organizer
      the 22nd IEEE International Conference on Intelligent Transportation Systems (ITSC2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Flow Histogram-based Recurrent Neural Network for Visual Odometry Estimation2019

    • Author(s)
      Yukihiro Achiha, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
    • Organizer
      L2019 workshop on Machine Learning for Trajectory, Activity, and Behavior (ACML-TAB2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 深層学習に基づく経路予測 ~環境・属性・相互作用が経路に与える影響~2019

    • Author(s)
      平川翼
    • Organizer
      令和元年度電気・電子・情報関係学会東海支部連合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning2019

    • Author(s)
      Tsubasa Hirakawa and Takayoshi Yamasita, Hironobu Fujiyoshi
    • Organizer
      International Workshop on Behavior analysis and Recognition for Knowledge Discovery
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] レジストレーションの基礎とOpen3Dを用いた3次元点群処理2018

    • Author(s)
      玉木徹
    • Organizer
      愛知県立大学 次世代ロボット研究所(RING)セミナー
    • Related Report
      2018 Annual Research Report
    • Invited
  • [Presentation] 3次元レジストレーション2018

    • Author(s)
      玉木徹
    • Organizer
      日本ロボット学会 第112回ロボット工学セミナー ロボットのための画像処理技術
    • Related Report
      2018 Annual Research Report
    • Invited
  • [Presentation] Pythonで動物の行動データを解析する研究をするには2018

    • Author(s)
      玉木徹
    • Organizer
      PyCon mini Hiroshima 2018
    • Related Report
      2018 Annual Research Report
  • [Presentation] キックオフ講演, HiBiS IT 勉強会 DLLAB 広島支部キックオフイベント2018

    • Author(s)
      玉木徹
    • Organizer
      HiBiS IT 勉強会 DLLAB 広島支部キックオフイベント
    • Related Report
      2018 Annual Research Report
  • [Presentation] マイクロフォンアレイを用いたコウモリの3次元位置推定2018

    • Author(s)
      藤森 和希, 小川 大輔, 玉木 徹, Bisser Raytchev, 金田 和文, 宮本 聖, 藤岡 慧明, 飛龍 志津子
    • Organizer
      第21回 画像の認識・理解シンポジウム(MIRU2018)
    • Related Report
      2018 Annual Research Report
  • [Presentation] QRNNによる動作認識のためのRandom Global Pooling2018

    • Author(s)
      西川 真史, 玉木 徹, Bisser Raytchev, 金田 和文
    • Organizer
      第21回 画像の認識・理解シンポジウム(MIRU2018)
    • Related Report
      2018 Annual Research Report
  • [Presentation] VQAに関するアイデア2018

    • Author(s)
      寺尾建登, 玉木徹, Bisser Raytchev, 金田和文
    • Organizer
      電子情報通信学会研究パターン認識・メディア理解研究会(PRMU)
    • Related Report
      2018 Annual Research Report
  • [Presentation] スペクトログラムを利用したコウモリの3次元位置推定2018

    • Author(s)
      小川大輔, 藤森和希, 玉木徹, Bisser Raytchev, 金田和文, 宮本聖, 藤岡慧明, 飛龍志津子
    • Organizer
      第62回システム制御情報学会研究発表講演会(SCI'18)
    • Related Report
      2018 Annual Research Report
  • [Presentation] シーンコンテキストを考慮したRRTによる経路生成2018

    • Author(s)
      平川翼, 山下隆義, 藤吉弘亘
    • Organizer
      日本ロボット学会学術講演会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 移動対象の属性と環境情報を導入したLSTMによる経路予測2018

    • Author(s)
      箕浦大晃, 平川翼, 山下隆義, 藤吉弘亘
    • Organizer
      画像センシングシンポジウムSSII2018
    • Related Report
      2018 Annual Research Report
  • [Presentation] フローヒストグラムを用いたRecurrent Neural Networkによる自己移動量推定2018

    • Author(s)
      阿知破千浩, 福井宏, 山下隆義, 藤吉弘亘
    • Organizer
      ビジョン技術の実利用ワークショップViEW2018
    • Related Report
      2018 Annual Research Report
  • [Presentation] Random Global Pooling for Action Recognition2018

    • Author(s)
      Masashi Nishikawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda,
    • Organizer
      Symposium on Systems Science of Bio-Navigation 2018
    • Related Report
      2018 Annual Research Report
  • [Presentation] 3D Localization of a bat in 3D from 20ch sound signal spectrograms2018

    • Author(s)
      Kazuki Fujimori, Daisuke Ogawa, Bisser Raytchev, Kazufumi Kaneda, Takara Miyamoto, Emyo Fujioka, Shizuko Hiryu, Toru Tamaki
    • Organizer
      Symposium on Systems Science of Bio-Navigation 2018
    • Related Report
      2018 Annual Research Report
  • [Presentation] On-line non-overlapping camera calibration net2018

    • Author(s)
      Zhao Fangda, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda,
    • Organizer
      第21回 画像の認識・理解シンポジウム(MIRU2018)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 物行動モデルによる軌跡のセマンティックセグメンテーション2018

    • Author(s)
      小川大輔, 玉木徹, Raytchev Bisser, 金田和文
    • Organizer
      電子情報通信学会 パターン認識・メディア理解研究会(PRMU)
    • Related Report
      2017 Annual Research Report
  • [Presentation] Self-Validating and Adjusting Pupil Tracker by Gabor filter tuning2017

    • Author(s)
      Motaz Sabri and Takio Kurita
    • Organizer
      The International Workshop on Frontiers of Computer Vision (IW-FCV2017)
    • Place of Presentation
      韓国
    • Year and Date
      2017-02-01
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Hierachical Region Merging with Region Adjacency Graph Constraints using Hypercolumns extracted from the trained CNN2017

    • Author(s)
      Yuga Fukushima and Takio Kurita
    • Organizer
      The International Workshop on Frontiers of Computer Vision (IW-FCV2017)
    • Place of Presentation
      韓国
    • Year and Date
      2017-02-01
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 軌跡特徴量を用いた行動認識2017

    • Author(s)
      松井 賢司, 玉木 徹, Bisser Raytchev, 金田 和文
    • Organizer
      第20回画像の認識・理解シンポジウム(MIRU2017)
    • Related Report
      2017 Annual Research Report
  • [Presentation] オプティカルフローとパーティクルフィルタを統合した人の流れの可視化手法2017

    • Author(s)
      坂根 靖法, 玉木 徹, Bisser Raytchev, 金田 和文
    • Organizer
      第20回画像の認識・理解シンポジウム(MIRU2017)
    • Related Report
      2017 Annual Research Report
  • [Presentation] MDAを用いた歩行者軌跡のクラスタリング2017

    • Author(s)
      小川 大輔, 玉木 徹, Bisser Raytchev, 金田 和文
    • Organizer
      第20回画像の認識・理解シンポジウム(MIRU2017)
    • Related Report
      2017 Annual Research Report
  • [Presentation] 動画像を用いた経路予測手法の分類2017

    • Author(s)
      平川翼, 山下隆義, 玉木徹, 藤吉弘亘
    • Organizer
      電子情報通信学会 パターン認識・メディア理解研究会(PRMU)
    • Related Report
      2017 Annual Research Report
  • [Presentation] ヒト移動軌跡データからの比較パターン抽出2017

    • Author(s)
      梶岡 慎輔 , 佐久間 拓人 , 西 和弥 , 梅津 佑太 , 烏山 昌幸 , 玉木 徹 , 前川 卓也 , 打矢 隆弘 , 松尾 啓志 , 竹内 一郎
    • Organizer
      情報処理学会研究報告ユビキタスコンピューティングシステム(UBI)
    • Related Report
      2017 Annual Research Report
  • [Presentation] Heterogeneous Learning を導入したDeep Convolutional Neural Networkによる運転手の骨格検出と顔向き推定2016

    • Author(s)
      奥野薫子,山下隆義,福井宏,山内悠嗣,藤吉弘亘,乘冨修蔵,新浩治
    • Organizer
      ビジョン技術の実利用ワークショップViEW2016
    • Place of Presentation
      神奈川
    • Year and Date
      2016-12-08
    • Related Report
      2016 Annual Research Report
  • [Presentation] Ensemble-Based Local Learning for High-Dimensional Data Regression2016

    • Author(s)
      Bisser Raytchev, Yoshinari Katamoto, Miku Koujiba, Toru Tamaki, Kazufumi Kaneda
    • Organizer
      23rd International Conference on Pattern Recognition
    • Place of Presentation
      メキシコ
    • Year and Date
      2016-12-04
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Higher-Level Representation of Local Spatio-Temporal Features for Human Action Recognition Using Subspace Matching Kernels2016

    • Author(s)
      Bisser Raytchev, Hideaki Kawamoto, Toru Tamaki, Kazufumi Kaneda
    • Organizer
      23rd International Conference on Pattern Recognition
    • Place of Presentation
      メキシコ
    • Year and Date
      2016-12-04
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Low Level Visual Extraction by Learning of Multiple Tasks for Convolutional Neural Networks2016

    • Author(s)
      H.Ide and T.Kurita
    • Organizer
      International Joint Conference on Neural Networks (IJCNN2016)
    • Place of Presentation
      カナダ
    • Year and Date
      2016-11-24
    • Related Report
      2016 Annual Research Report
  • [Presentation] Consecutive Dimensionality Reduction by Canonical Correlation Analysis for Visualization of Convolutional Neural Networks2016

    • Author(s)
      A.Hidaka, and T.Kurita
    • Organizer
      The 48th ISCIE International Symposium on Stochastic Systems Theory and Its Applications
    • Place of Presentation
      福岡
    • Year and Date
      2016-11-04
    • Related Report
      2016 Annual Research Report
  • [Presentation] 一人称鳥視点映像解析の試み2016

    • Author(s)
      玉木徹, 竹内一郎, 前川卓也, 依田憲
    • Organizer
      情報処理学会 研究報告コンピュータビジョンとイメージメディア研究会(CVIM)
    • Place of Presentation
      富山
    • Year and Date
      2016-09-02
    • Related Report
      2016 Annual Research Report
  • [Presentation] 時系列データの変化点検出におけるSelective Inference2016

    • Author(s)
      梅津佑太, 中川和也, 井上茂乗, 津田宏治, 杉山麿人, 前川卓也, 玉木徹, 依田憲, 竹内一郎
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会 (IBISML)
    • Place of Presentation
      富山
    • Year and Date
      2016-09-02
    • Related Report
      2016 Annual Research Report
  • [Presentation] アンサンブル学習に基づくLocal Learningに関する研究2016

    • Author(s)
      片本 良成, Bisser Raytchev, 糀場 未来, 玉木 徹, 金田 和文
    • Organizer
      第19回画像の認識・理解シンポジウム(MIRU2016)
    • Place of Presentation
      静岡
    • Year and Date
      2016-08-01
    • Related Report
      2016 Annual Research Report
  • [Presentation] 行動認識のためのTrajectory特徴量2016

    • Author(s)
      松井賢司, 玉木徹, Bisser Raytchev, 金田和文
    • Organizer
      平成28年度(第67回)電気・情報関連学会中国支部連合大会
    • Place of Presentation
      広島
    • Related Report
      2016 Annual Research Report
  • [Presentation] 歩行者検出におけるグランドチャレンジ2016

    • Author(s)
      藤吉弘亘, 山下隆義, 山内悠嗣
    • Organizer
      電子情報通信学会 パターン認識・メディア理解研究会
    • Place of Presentation
      島根
    • Related Report
      2016 Annual Research Report
  • [Presentation] Deep Learning を用いた歩行者検出の研究動向2016

    • Author(s)
      福井宏, 山下隆義, 山内悠嗣, 藤吉弘亘
    • Organizer
      電子情報通信学会 パターン認識・メディア理解研究会
    • Place of Presentation
      島根
    • Related Report
      2016 Annual Research Report
  • [Remarks] ACML-TAB workshop

    • URL

      http://acml-tab2019.animal-behavior-challenge.org

    • Related Report
      2019 Annual Research Report
  • [Remarks] 新学術領域研究 生物移動情報学

    • URL

      http://navi-science.org

    • Related Report
      2017 Annual Research Report
  • [Funded Workshop] ACML2019 workshop on Machine Learning for Trajectory, Activity, and Behavior (ACML-TAB), in conjunction with The 11th Asian Conference on Machine Learning (ACML2019)2019

    • Related Report
      2019 Annual Research Report

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Published: 2016-07-04   Modified: 2022-01-27  

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