Faculty Profiles - Deguchi Daisuke

Presentations -

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運転時のサブタスクを考慮した歩行者の見落としやすさ推定

今枝祐綺, 平山高嗣, 出口大輔, 井手一郎, 村瀬洋

電子情報通信学会東海支部卒業研究発表会 2015.3.9

Introduction of video streaming service linked with Sakai at Nagoya University

Akifumi Goto, Yoshihiro Ohta, Takahiro Nakatsukasa, Nao Tanoue, Shigeki Ohira, Daisuke Deguchi, Kensaku Mori

Ja Sakai Annual Conference 2015 2015.3.9

Detectors ensemble based on false positive mining for pedestrian detection

Yuki Suzuki, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase

18th Meeting on Image Recognition & Understanding (MIRU2015) 2015.7.30

Position Interpolation using Feature Point Scale for Decimeter Visual Localization International conference

David Robert Wong, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2015 IEEE International Conference on Computer Vision (ICCV2015) Workshops 2015.12.12

Event date： 2015

Language：English Presentation type：Oral presentation (general)

Venue：Santiago, Chile

Vehicle ego-localization is a critical task not only for in-car navigation systems, but also for emerging intelligent and autonomous vehicle technologies. Visual localization methods that determine current location by performing image matching against a pre-constructed database have an accuracy limited by the spatial distance between database images. In this paper we propose a method that uses the scale of feature points to interpolate the position of the query image between two database images. We show how this simple contribution offers an appreciable improvement in localization accuracy with an extremely minimal increase in processing time, especially when used in conjunction with image matching methods that already monitor feature scale. Our experiments showed an increase of up to 33\% in average localization accuracy when compared to a method without any interpolation.

A Collaborative Report on The Open Apereo 2015 Conference

Soichiro Fujii, Yuji Tokiwa, Daisuke Deguchi, Shoji Kajita

IPSJ SIG Technical Report (CLE) 2015.12.6

列車前方映像を用いた時空間差分による障害物検出に関する検討

向嶋宏記, 川西康友, 出口大輔, 井手一郎, 村瀬洋, 鵜飼正人, 長峯望, 中曽根隆太

ビジョン技術の実利用ワークショップ(ViEW) 2015.12.3

情報サービスの安定運用と迅速な障害対応を目的とした機器情報管理データベースの構築

川田良文, 出口大輔, 渥美紀寿, 加藤芳秀, 嶋田創, 荻野正雄, 小川泰弘, 大野誠寛, 服部昌祐, 山田一成

大学ICT推進協議会（AXIES） 2015.12.3

Event date： 2015

Language：Japanese Presentation type：Poster presentation

Venue：ウインクあいち

名古屋大学情報連携統括本部では、学内向けに種々の情報サービスを提供している。昨今、サービスの多様化に伴って発生するシステムのトラブルの複雑化が大きな問題となっている。そこで、情報サービスに必要なリソースを可視化し、サービスの安定運用と迅速な障害対応を行う取り組みを行っている。昨年度は、機器情報管理データベースの構築に加え、機器情報とサービスを関連付ける機能の実装を行った。本発表では、機器情報管理データベースの機能と運用方法について報告する。

赤外線センサアレイを用いた温度と空間の絞り込みによる手振り動作検出

鳥山千智, 川西康友, 高橋友和, 出口大輔, 井手一郎, 村瀬洋, 相澤知禎, 川出雅人

ビジョン技術の実利用ワークショップ(ViEW) 2015.12.3

Detector Ensemble based on False Positive Mining for Pedestrian Detection International conference

Yuki Suzuki, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase

3rd IAPR Asian Conference on Pattern Recognition (ACPR2015) 2015.11.6

Generation of a video summary on a news topic based on SNS responses to news stories International conference

Kosuke Kato, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

Proc. 4th Int Workshop on Crowdsourcing for Multimedia (CrowdMM'15) in conjunction with ACMMM2015 2015.10.30

A study on estimating the attractiveness of food photography composition

Kazuma Takahashi, Keisuke Doman, Yasutomo Kawanishi, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (MVE) 2015.10.8

終端フリーDPを用いた列車前方映像の照合による走行位置推定に関する検討

向嶋宏記, 川西康友, 出口大輔, 井手一郎, 村瀬洋, 鵜飼正人, 長峯望, 中曽根隆太

電気・電子・情報関係学会東海支部連合大会 2015.9.29

A study on pedestrian detection in raining condition considering the positional relationship of an umbrella and a pedestrian

Yuto Shimbo, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2015 2015.9.29

Distant Pedestrian Re-Detection from an in-Vehicle Camera based on Detections by Other Vehicles International conference

Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi

2015 IEEE Conference on Intelligent Transportation Systems (ITSC2015) 2015.9.16

Event date： 2015

Language：English Presentation type：Oral presentation (general)

Venue：Las Plmas de Gran Canaria, Spain

In this paper, we propose the re-detection paradigm, which is a detection with prior knowledge of the detection targets, and we introduce an implementation of the re-detection for distant pedestrian detection from an in-vehicle camera. We focus on the fact that other vehicles including forward vehicles can observe and detect pedestrians before the own vehicle observes them. Since appearances of pedestrians do not significantly change even though their locations are different, sharing images of the detected pedestrians among the vehicles, the own vehicle can use them as prior knowledge for detecting them again. Results of applying the proposed method to a dataset obtained by an in-vehicle camera demonstrate that the accuracy of pedestrian detection results can be significantly increased if prior knowledge of the pedestrians could be obtained.

DOI： 10.1109/ITSC.2015.200

Tastes and textures estimation of foods based on the analysis of its ingredients list and image International conference

Hiroki Matsunaga, Keisuke Doman, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

1st International Workshop on Multimedia Assisted Dietary Management 2015.9.8

Event date： 2015

Language：English Presentation type：Oral presentation (general)

Venue：Genova, Italy

Recently, the number of cooking recipes on the Web is increasing.
However, it is difficult to search them by tastes or textures although
they are actually important considering the nature of the contents.
Therefore, we propose a method for estimating the tastes and the
textures of a cooking recipe by analyzing them.
Concretely, the proposed method refers to an ingredients feature from
the ``ingredients list'' and image features from the ``food image'' in
a cooking recipe.
We confirmed the effectiveness of the proposed method through an
experiment.

Road scene understanding by using in-vehicle camera

Daisuke Deguchi

2015.9.3

ownCloudを用いた全教職員向けファイル共有サービスの構築

松岡孝, 田島尚徳, 出口大輔, 森健策

大学ICT推進協議会（AXIES） 2014.12.12

Single Camera Vehicle Localization Using SURF Scale and Dynamic Time Warping International conference

David Robert Wong, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2014 the IEEE Intelligent Vehicles Symposium (IV2014) 2014.6.10

Event date： 2014

Language：English Presentation type：Poster presentation

Venue：Dearborn, Michigan, USA

Vehicle ego-localization is an essential process for many driver assistance and autonomous driving systems. The traditional solution of GPS localization is often unreliable in urban environments where tall buildings can cause shadowing of the satellite signal and multipath propagation. Typical visual feature based localization methods rely on calculation of the fundamental matrix which can be unstable when the baseline is small.
In this paper we propose a novel method which uses the scale of matched SURF image features and Dynamic Time Warping to perform stable localization. By comparing SURF feature scales between input images and a pre-constructed database, stable localization is achieved without the need to calculate the fundamental matrix. In addition, 3D information is added to the database feature points in order to perform lateral localization, and therefore lane recognition.
From experimental data captured from real traffic environments, we show how the proposed system can provide high localization accuracy relative to an image database, and can also perform lateral localization to recognize the vehicle's current lane.

Estimation of Traffic Sign Visibility Considering Local and Global Features in a Driving Environment International conference

Keisuke Doman, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase, Utsushi Sakai

2014 IEEE Intelligent Vehicles Symposium (IV2014) 2014.6.9

Event date： 2014

Language：English Presentation type：Poster presentation

Venue：Dearborn, Michigan, USA

This paper proposes a camera-based visibility estimation method for a traffic sign.
The visibility here indicates how a visual target is easy to be detected and recognized by a human driver (not a machine).
This research aims at realizing a nuisance-free driver assistance system which sorts out information depending on the visibility of a visual target, in order to prevent driver distraction.
Our previous study on estimating the visibility of a traffic sign considered only the effect of the local region around a target, assuming the situation that a driver's gaze is around it.
The proposed method integrates both the local features and global features in a driving environment without such an assumption.
The global features evaluate the positional relationships between traffic signs and the appearance around the fixation point of a driver's gaze, which considers the effect of the driver's entire field of view.
Experimental results showed the effectiveness of incorporating the global features for estimating the visibility of a traffic sign.

Estimation of a politician's stance based on his/her posts to microblogs

Hiromichi Iwai, Keisuke Doman, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

2014.5.12

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