Faculty Profiles - Deguchi Daisuke

Presentations -

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A Study on Frame Alignment between Present and Past Train Frontal View Videos

Hiroki Mukoujima, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Masato Ukai, Nozomi Nagamine

2015 IEICE General Conference 2015.3.12

A Study on the Detection of Pedestrians holding an Umbrella based on Generative Learning

Yuto Shimbo, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2015 IEICE General Conference 2015.3.12

Estimation of Human Orientation using Coaxial RGB-Depth Images International conference

Fumito Shinmura, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi

International Conference on Computer Vision Theory and Applications (VISAPP) 2015 2015.3.12

Event date： 2015

Language：English Presentation type：Oral presentation (general)

Venue：Berlin

Estimation of human orientation contributes to improving the accuracy of human behavior recognition. However,
estimation of human orientation is a challenging task because of the variable appearance of the human
body. The wide variety of poses, sizes and clothes combined with a complicated background degrades the
estimation accuracy. Therefore, we propose a method for estimating human orientation using coaxial RGBDepth
images. This paper proposes Depth Weighted Histogram of Oriented Gradients (DWHOG) feature
calculated from RGB and depth images. By using a depth image, the outline of a human body and the texture
of a background can be easily distinguished. In the proposed method, a region having a large depth gradient
is given a large weight. Therefore, features at the outline of the human body are enhanced, allowing robust
estimation even with complex backgrounds. In order to combine RGB and depth images, we utilize a newly
available single-chip RGB-ToF camera, which can capture both RGB and depth images taken along the same
optical axis. We experimentally confirmed that the proposed method can estimate human orientation robustly
to complex backgrounds, compared to a method using conventional HOG features.

DOI： 10.5220/0005305301130120

A preliminary Study on the Effect of a Secondary Task while Driving on Pedestrian Detectability

Yuki Imaeda, Ryunosuke Tanishige, Takatsugu Hirayama, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2015 IEICE General Conference 2015.3.11

傘と歩行者の位置関係を考慮した生成型学習法による傘差し歩行者検出

新保祐人, 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

撮影角度による見えの違いに注目した料理写真の魅力度分析

髙橋和馬, 村瀬洋, 井手一郎, 出口大輔

電子情報通信学会東海支部卒業研究発表会 2015.3.9

現在と過去の列車前方映像間のフレーム対応付けによる走行位置推定

向嶋宏記, 村瀬洋, 井手一郎, 出口大輔

電子情報通信学会東海支部卒業研究発表会 2015.3.9

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

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

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.

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