Faculty Profiles - Deguchi Daisuke

Presentations -

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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

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

Distant Pedestrian Detection from an in-Vehicle Camera based on Observations of Forward Vehicles

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

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

運転者から見た歩行者の危険度推定のための「歩きスマホ」認識

新村文郷, 川西康友, 出口大輔, 井手一郎, 村瀬洋, 藤吉弘亘

画像の認識・理解シンポジウム(MIRU) 2015.7.29

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

Estimation of the Representative Story Transition in a Chronological Semantic Structure of News Topics International conference

Kosuke Kato, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

4th International Conference on Multimedia Retrieval (ICMR2014) 2014.4.4

Event date： 2014

Language：English Presentation type：Poster presentation

Venue：Glasgow University

It is important to track the flow of topics to thoroughly understand the contents. Accordingly, a method that structures the chronological semantic relations between news stories, namely a 'topic thread structure' has been proposed.It allows the comprehensive understanding of a topic by chronologically tracking stories one by one from the initial story. However, this task imposes a user to watch many stories when it contains various sub-topics. Thus, we propose method that estimates the representative story transition in a topic thread structure. In the proposed method, features obtained from a story and those from the topic thread structure are used for the estimation. We confirmed the effectiveness of the proposed method by comparing the results obtained from the proposed method to the ground truth obtained from votes in a subjective experiment. However, this task imposes a user to watch many stories when it contains various sub-topics. Thus, we propose method that estimates the representative story transition in a topic thread structure. In the proposed method, features obtained from a story and those from the topic thread structure are used for the estimation. We confirmed the effectiveness of the proposed method by comparing the results obtained from the proposed method to the ground truth obtained from votes in a subjective experiment

A Preliminary Study on the Removal of Moving Objects in a Frontal In-vehicle Camera Image Sequence

Toru Kotsuka, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase