Faculty Profiles - Deguchi Daisuke

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An Analysis of How Driver Experience Affects Eye-Gaze Behavior for Robotic Wheelchair Operation International conference

Yamato Maekawa, Naoki Akai, Takatsugu Hirayama, Luis Yoichi Morales, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase

2019 IEEE International Conference on Computer Vision (ICCV) Workshops 2019.11.2

Event date： 2019

Language：English Presentation type：Poster presentation

Venue：COEX Convention Center, Seoul, Korea

Drivers obtain information on surrounding environment using their eyesights. Experienced eye-gaze behavior is needed when driving at places where multiple risks exist to prepare for and avoid them. In this work, we analyze the change in eye-gaze behavior in such situations while a driver gains experience on the operation of a robotic wheelchair. Accurate distance information in the traffic environment is important to analyze the eye-gaze behavior. However, almost all previous works analyze eye-gaze behavior in a 2D environment, so they could not obtain accurate distance information. For this reason, we analyze eye-gaze behavior in 3D space. Concretely, we developed a novel eye-gaze behavior analysis platform based on a robotic wheelchair and estimated the driver's attention in 3D space. We try to analyze the eye-gaze behavior considering a useful field-of-view in 3D space based on the distance information instead of only the fixation point to investigate the objects that a driver implicitly pays attention to and from where s/he focuses on them. Results show that novice drivers pay attention to a single risk at a time. In contrast, they pay more attention to multiple risks simultaneously as they gain experience. Additionally, we discuss what features are effective to model the eye-gaze behavior based on the results.

DOI： 10.1109/ICCVW.2019.00545

Exemplar-based Pseudo-Viewpoint Rotation for White-Cane User Recognition from a 2D Human Pose Sequence International conference

Naoki Nishida, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Jun Piao

The 16-th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS) 2019.9.20

Similar Seasonal-Geo-Region Mining based on Visual Concepts in Social Media Photos International conference

Yasutomo Kawanishi, Ichiro Ide, Chen Lu, Takatsugu Hirayama, Keisuke Doman, Daisuke Deguchi, Hiroshi Murase

5th IEEE Conference on Multimedia BigData 2019.9.11

A Preliminary Study on Pedestrian Abnormal Behavior Recognition based on Pose Heatmap from Surveillance Camera Images

Onur Temuroglu, Yasutomo Kawanishi, Daisuke Deguchi, Takatsugu Hirayama, Ichiro Ide, Hiroshi Murase, Mayuu Iwasaki, Atsushi Tsukada

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2019.9.10

A Preliminary Study on Pseudo-Viewpoint Conversion for White-Cane User Recognition from Arbitrary Viewpoints

Naoki Nishida, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Jun Piao

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2019.9.10

A Study on Human Skeleton Estimation from an Extremely Low-Resolution FIR Image Sequence for Monitoring Systems

Saki Iwata, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Tomoyoshi Aizawa

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2019.9.10

An Analysis of Simultaneous Image Matching on Various Datasets for Person Re-identification

Nik Mohd Zarifie Hashim, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2019.9.10

Event date： 2019

Language：English Presentation type：Oral presentation (general)

Venue：大同大学

Person re-identification is becoming a focus topic in many discussions recently. It becomes a vital role in public surveillance for identifying people across the street, inside supermarkets, and airports. Person re-identification aims to match person images captured at several non-overlapping camera views. For this reason, many advanced types of research had been competing to cope with the best solution for identifying multiple persons. Due to the redundant and mismatching which occurred in the traditional individual image matching scheme, the simultaneous image matching [1, 2] provides a solution which could avoid this downside. In this study, we analyze the performance of the simultaneous image matching on various datasets. We also evaluate a new image mask for feature extraction of SDALF.

Analysis of the Eye-gaze Behaviors of Robotic Wheelchair Drivers Considering the Geometric Relation with a Focused Object

Yamato Maekawa, Naoki Akai, Takatsugu Hirayama, Luis Yoichi Morales, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2019.9.10

CityWalks: An Extended Dataset for Attribute-aware Semantic Segmentation

Mahmud Dwi Sulistiyo, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Takatsugu Hirayama, Hiroshi Murase

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2019.9.9

Typicality analysis of a food within a food category based on its appearance

Masamu Nakamura, Yasutomo Kawanishi, Keisuke Doman, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (MVE) 2019.8.29

3つの学習特徴に基づく料理レシピの地域属性推定

伊藤耀一朗, 道満恵介, 川西康友, 平山高嗣, 井手一郎, 出口大輔, 村瀬洋

電子情報通信学会魅力工学研究会シンポジウム2019 2019.8.28

見えに基づく同一料理カテゴリの料理に関する典型度分析

中村真務, 川西康友, 道満恵介, 平山高嗣, 井手一郎, 出口大輔, 村瀬洋

電子情報通信学会魅力工学研究会シンポジウム2019 2019.8.28

欠損復元AutoEncoderによる遮蔽に頑健な物体姿勢推定の検討

立道大樹, 川西康友, 出口大輔, 井手一郎, 村瀬洋, 安間絢子

画像の認識・理解シンポジウム(MIRU) 2019.8.1

Event date： 2019

Language：Japanese Presentation type：Poster presentation

Venue：グランキューブ大阪（大阪府立国際会議場）

近年，日常生活の支援のために家庭環境にロボットが導入されつつある．ロボットが物体を持ち運ぶためには，物体の姿勢を推定する必要があるが，物体が密集して存在する場合，他の物体に遮蔽されることで観測値に欠損が生じ，姿勢推定が困難である．欠損を復元するようにAutoEncoderを学習し，Encoder部分から得られる特徴ベクトルを姿勢推定に用いる手法があるが，この手法は欠損による物体中心の位置ずれを考慮していないため，欠損が大きいほど精度が低い．本発表では，欠損を復元できるように学習したAutoEncoderを，位置ずれの補正をしながら2回適用することで，観測値の欠損と位置ずれに対処した姿勢推定手法を提案する．また，パラメトリック固有空間法を拡張し，複数物体の姿勢変化からなる多様体上で姿勢補間することにより，同一クラスに属する未知形状の物体の未知姿勢であっても姿勢推定ができる手法を提案する．

走行履歴情報からの状況適応型走路の自動獲得

右島琢也, 久徳遙矢, 出口大輔, 川西康友, 井手一郎, 村瀬洋

画像の認識・理解シンポジウム(MIRU) 2019.8.1

Event date： 2019

Language：Japanese Presentation type：Poster presentation

Venue：グランキューブ大阪（大阪府立国際会議場）

近年，自動運転技術が注目を集めており，その実現に向けた研究開発が盛んである．自動運転の実現のため，安全に走行可能な道路領域を推定する走路推定技術が求められている．走路の推定には周囲環境認識技術が不可欠であり，セマンティックセグメンテーションがその中で重要な役割を担うと期待されている．これまでに，セマンティックセグメンテーションを走路推定に用いる試みは行われているが，道路上に存在する他の車両や歩行者との接触は考慮されていない．我々は接触を回避した走路を得るために，車速の変化に着目して自車両の減速行動を学習し，複数フレームを用いて他物体の動きを学習することにした．本発表では，自車速を用いて車両の走行履歴情報を画像上に投影することで，多数のラベル画像を自動的に獲得し，他物体との接触がない走路（状況適応型走路）を推定する手法を提案する．名古屋駅周辺の走行履歴情報を用いて提案手法の評価を行なった結果，自動獲得した画像から走路推定器を構築できることを確認した．

Hand Emergence Features in Ego-centric View for Analyzing Cooperative Group Work

Kazuaki Kondo, Atsushi Shimada, Daisuke Deguchi

HCG Symposium 2018 2018.12.13

オノマトペによる歩容の記述の高精度化に向けたデータセットの構築

加藤大貴, 平山高嗣, 道満恵介, 川西康友, 井手一郎, 出口大輔, 村瀬洋

画像の認識・理解シンポジウム(MIRU) 2018.8.8

同一経路走行映像群からのネガティブサンプル自動抽出による人物検出器の高精度化

本谷真志, 久徳遙矢, 出口大輔, 川西康友, 井手一郎, 村瀬洋

画像の認識・理解シンポジウム(MIRU) 2018.8.8

On Understanding Visual Relationships of Concepts by Visualizing Bag-of-Visual-Words Models

Marc Aurel Kastner, Ichiro Ide, Yasutomo Kawanishi, Takatsugu Hirayama, Daisuke Deguchi, Hiroshi Murase

Meeting on Image Recognition & Understanding 2018.8.8

Event date： 2018

Language：English Presentation type：Poster presentation

Venue：札幌コンベンションセンター

Recent applications in image processing often use a multimodal approach using both text and imagery. This is prone to semantic gap issues when converting between image and language. There has been few research quantifiying visual differences when assessing semantic relationships. In this research, we analyze datasets composed of logically related concepts. By visualizing a Bag-of-Visual-Words (BoVW) model spatially, visual semantics of logically related sub-concepts are shown. To find hidden semantics of related concepts, the most common visual words of an image in relation to its neighbors are highlighted. This provides additional semantic knowledge on how sub-ordinate concepts visually relate to another. It is thought to give an insight on the human perception of these concepts, and can be used in future research to estimate psycholinguistic ratings.

Active Scan LIDARによる歩行者の向きを考慮した効率的な歩行者スキャン手法

山本大貴, 新村文郷, 出口大輔, 川西康友, 井手一郎, 村瀬洋

画像の認識・理解シンポジウム(MIRU) 2018.8.7

Event date： 2018

Language：Japanese Presentation type：Poster presentation

Venue：札幌コンベンションセンター

近年，LASER 光の照射方向を瞬時かつ任意方向に制御可能な Active Scan LIDAR が開発中であり，局所的にスキャン密度を高めることにより遠距離の歩行者を検出可能になると期待されている．しかし，歩行者を効率的にスキャンする方法は実現されていない．そこで本発表では，歩行者の向き毎に構築した歩行者形状モデルと存在確率に基づいた歩行者尤度推定によるActive Scan LIDAR のための効率的な歩行者スキャン手法を提案する．

A Study on the Construction of a Traffic Signal Detector by Automatic Accumulation of Training Data Leveraging Driving Behavior Information

Takuya Migishima, Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2018 2018.9.3

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