Faculty Profiles - Deguchi Daisuke

Presentations -

Division display 301 - 320 of about 698 ／ All the affair displays >>

Summarization of multiple news videos based on term scores using responses of SNS users

Kosuke Kato, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (MVE) 2015.3.3

A study on construction of pedestrian detectors adaptive to driving environment referring to false detection tendency

Yuki Suzuki, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2015.3.20

A study on the predicition of driver's pedestrian detectability considering characteristics of human fields-of-view while driving

Ryunosuke Tanishige, Keisuke Doman, Daisuke Deguchi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2015.3.20

Adaptive Reference Image Selection for Temporal Object Removal from Frontal In-vehicle Camera Image Sequences International conference

Toru Kotsuka, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

International Conference on Computer Vision Theory and Applications (VISAPP) 2015 2015.3.14

Event date： 2015

Language：English Presentation type：Oral presentation (general)

Venue：Berlin

In recent years, image inpainting is widely used to remove undesired objects from an image. Especially, the removal of temporal objects, such as pedestrians and vehicles, in street-view databases such as Google Street View has many applications in Intelligent Transportation Systems (ITS). To remove temporal objects, Uchiyama et al. proposed a method that combined multiple image sequences captured along the same route. However, when spatial alignment inside an image group does not work well, the quality of the output image of this method is often affected. For example, large temporal objects existing in only one image create regions that do not correspond to other images in the group, and the image created from aligned images becomes distorted. One solution to this problem is to select adaptively the reference image containing only small temporal objects for spatial alignment. Therefore, this paper proposes a method to remove temporal objects by integration of multiple image sequences with an adaptive reference image selection mechanism.

DOI： 10.5220/0005357102330239

A Preliminary Study on Human Attribute Classification in Thermal Image

Brahmastro Kresnaraman, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

2015 IEICE General Conference 2015.3.12

A Preliminary Study on the Construction of Pedestrian Detectors Referring to False Positive Tendency

Yuki Suzuki, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2015 IEICE General Conference 2015.3.12

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

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

A Study on Removal of Temporal Objects from Image Sequences Based on Adaptive Background Selection

Toru Kotsuka, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2015.3.20

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。

　 PREV - NEXT 　

<Deguchi Daisuke>

Presentations -