研究者詳細 - 出口　大輔

論文 - 出口　大輔

分割表示 253 件中 121 - 140 件目／全件表示 >>

拡張Census Transformを用いた道路面の経時差分による車載カメラ映像からの不特定障害物検出査読有り

久徳遙矢, 出口大輔, 高橋友和, 目加田慶人, 井手一郎, 村瀬洋

電気学会論文誌C 136 巻 ( 4 ) 頁： 588 - 589 2016年4月

記述言語：日本語掲載種別：研究論文（学術雑誌）

This paper proposes a method for detecting general obstacles on a road by subtracting a present in-vehicle camera image sequence from its corresponding past image sequences using an illumination insensitive feature.
We conducted experiments using several image sequences captured under various illumination conditions, and confirmed the effectiveness of the proposed method.

DOI： 10.1541/ieejeiss.136.588

A classification method of cooking operations based on eye movement patterns 査読有り

Hiroya Inoue, Takatsugu Hirayama, Keisuke Doman, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Proceedings of Ninth Biennial ACM Symposium on Eye Tracking Research and Applications (ETRA2016) 頁： 205 - 208 2016年3月

HandWaving Gesture Detection Using a Far-Infrared Sensor Array with Thermo-Spatial Region of Interest 査読有り

Chisato Toriyama, Yasutomo Kawanishi, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Tomoyoshi Aizawa, Masato Kawade

Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP) 2016 頁： 545 - 551 2016年2月

Image transformation of eye areas for synthesizing eye-contacts in video conferencing 査読有り

Takuya Inoue, Tomokazu Takahashi, Takatsugu Hirayama, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Takayuki Kurozumi, Kunio Kashino

Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP) 2016 3 巻頁： 273 - 279 2016年2月

Human Wearable Attribute Recognition using Decomposition of Thermal Infrared Images 査読有り

Brahmastro Kresnaraman, Yasutomo Kawanishi, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase

Proceedings of the 22th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2016) 頁： 123 - 127 2016年2月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

This paper addresses an attribute recognition problem in thermal images, specifically on worn objects such as hat and glasses. Although attribute recognition is a growing research field, there are not much work done in thermal infrared spectrum. In this spectrum, since illumination is not a problem, it could be a better option to be used in nighttime or poorly lit areas. The proposed method uses only the attribute information and excludes the unnecessary information for the recognition. To achieve this, we propose attribute recognition based on feature decomposition using Robust Principal Component Analysis (RPCA). An experiment to evaluate the capability of the proposed method was conducted on the dataset created for this research. The results show that the proposed method outperformed the method without decomposition by 14% in average with a maximum of 27% increase in a specific attribute.

Human Body Segmentation Using Texture Aware Grab-cut and Statistical Shape Models 査読有り

Esmaeil Pourjam, Yasutomo Kawanishi, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

Proceedings of the 22th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2016) 頁： 28 - 33 2016年2月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Segmentation is one of active areas in computer vision field with application in many areas from entertainment to intelligent vehicles (IVs). Among the objects, humans themselves have always been among the most interested subjects because of
their special features. Since human body has an articulated structure, modeling and recognizing different variations in the body has proved to be very difficult. Wearing various kinds of clothes in different situations which can have a completely dissimilar appearance based on the clothing type, makes the modeling much more difficult. Add to this, the common problems of vision like illumination changes, blurring due to camera movements, etc. make the problem even more difficult. Thus having a system that can segment human subjects accurately can be useful in many applications. In this paper, we propose a system for segmenting human subjects using Statistical Shapes Models (SSM) feedback and a texture aware version of Grab-cut which incorporates texture feature for improving the segmentation accuracy. Our experiments show that the proposed system has an acceptable accuracy compared to the state-of-the art interactive methods and much better than the conventional ones.

赤外線センサアレイを用いた人体追跡査読有り

細野峻司, 高橋友和, 出口大輔, 井手一郎, 村瀬洋, 相澤知禎, 川出雅人

電子情報通信学会論文誌 J99-D 巻 ( 1 ) 頁： 119 - 129 2016年1月

運転時の人間の視野特性を考慮した歩行者の見落としやすさ推定手法査読有り

谷繁龍之介, 道満恵介, 出口大輔, 目加田慶人, 井手一郎, 村瀬洋

電子情報通信学会論文誌 J99-D 巻 ( 1 ) 頁： 56 - 66 2016年1月

Position Interpolation using Feature Point Scale for Decimeter Visual Localization 査読有り

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

Proceedings of 2015 IEEE International Conference on Computer Vision (ICCV2015) Workshops 頁： 1 - 8 2015年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

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.

Detector Ensemble based on False Positive Mining for Pedestrian Detection 査読有り

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

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition (ACPR2015) 2015年11月

Generation of a video summary on a news topic based on SNS responses to news stories 査読有り

Kosuke Kato, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

Proc. 4th Int Workshop on Crowdsourcing for Multimedia (CrowdMM'15) in conjunction with ACMMM2015 頁： 21 - 26 2015年10月

他車による観測結果を用いた遠方人物検出査読有り

川西康友, 出口大輔, 井手一郎, 村瀬洋, 藤吉弘亘

Proceedings of 2015 IEEE Conference on Intelligent Transportation Systems (ITSC2015) 頁： 1215 - 1220 2015年9月

Tastes and textures estimation of foods based on the analysis of its ingredients list and image 査読有り

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

9281 巻頁： 326 - 333 2015年9月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

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.

人物領域分割のための統計的形状フィードバック査読有り

Esmaeil Pourjam, 出口大輔, 井手一郎, 村瀬洋

電気学会論文誌C 135-C 巻 ( 8 ) 頁： 1000 - 1008 2015年8月

Typicality analysis of the combination of ingredients in a cooking recipe for assisting the arrangement of ingredients 査読有り

Satoshi Yokoi, Keisuke Doman, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

Proceedings of 2015 IEEE International Conference on Multimedia and Expo (ICME2012) 頁： 1 - 6 2015年7月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

As the number of cooking recipes posted on the Web increases, it becomes difficult to find a cooking recipe that a user needs. Moreover, even if it can be done, it is still difficult for users to arrange the cooking recipe, for example, by replacing ingredients with different ones. To deal with such problems, we propose a framework for typicality analysis of the combination of ngredients. The framework calculates a typicality value for each combination of ingredients. The list of ingredients can be arranged by adjusting the typicality value by adding or removing ingredients iteratively. The effectiveness of the proposed framework was confirmed through subjective experiments.

（単板式RGB-TOFカメラを用いた歩行者の向き分類）査読有り

新村文郷, 川西康友, 出口大輔, 井手一郎, 村瀬洋, 藤吉弘亘

Proceedings of Workshop on Environment Perception for Automated On-road Vehicles in conjunction with 2015 IEEE Intelligent Vehicles Symposium (IV2015) 頁： 7 - 11 2015年6月

Translating Apereo Software: A Case Study using Sakai and Transifex

Yuji Tokiwa, Daisuke Deguchi, Juan Jose Merono Sanchez, Jose Mariano Lujan Gonzalez, Diego del Blanco Orobitg

2015年6月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Web based translation support systems such as Crowdin and Transifex make it easy for regional Sakai communities to collaborate globally in translation. In the fall and winter of 2014, Spanish Sakai community and Japanese Sakai community are collaborating in translation of Sakai 10 using Transifex as a common translation platform. This collaboration brought a lot of things to two communities. For instance, to develop a tool to import resource bundle files to Transifex in a specific manner, we can have an ease of use platform to translate modular designed software such as Sakai. And this platform will be extended for every regional community and for every project in Apereo community.
During this session we will talk about followings;
(1) Overview
(2) Benefits for Apereo community
(3) Context dependent translation by gettext Portable Object
(4) Community translation strategy in Sakai Spanish Users (S2U)
(5) Automatized process by Jenkins

Multi-modal scene duplicate detection from news videos focusing on human faces 査読有り

Haruka Kumagai, Keisuke Doman, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

International Journal of Semantic Computing 9 巻 ( 2 ) 頁： 215 - 237 2015年6月

記述言語：英語掲載種別：研究論文（学術雑誌）

In this paper, as a tool for structuring a large volume of archived news videos according to their semantic contents, we propose a method that effectively detects scene duplicates, assuming the presence of a person speaking in the videos. A scene duplicate is defined here as a pair of video segments taken at the same event from different viewpoints. When considering scenes where a subject is speaking in news videos, referring to the audio channel could be effective to detect scene duplicates regardless of viewpoints. However, it cannot be relied on when external audio sources overlap the original one or when the subject is actually not speaking. In contrast, the image channel can be useful in most cases. However, significant difference in viewpoints could prevent accurate detection. Therefore, we propose a method that combines the results obtained from both audio and image channels in order to improve the accuracy of scene duplicate detection from news videos. The proposed method was evaluated through an experiment with actual broadcast news videos by comparing it with a conventional method. As a result, we confirmed that the detection accuracy significantly improved by the proposed method in both recall and precision.

DOI： 10.1142/S1793351X15400048

教育用オープンソースソフトウェア群のローカライゼーションと共通翻訳メモリの開発査読有り

常盤祐司, 出口大輔, 宮崎誠, 平岡斉士, 喜多敏博, 梶田将司

情報処理学会デジタルプラクティス 6 巻 ( 2 ) 頁： 79 - 88 2015年4月

記述言語：日本語掲載種別：研究論文（学術雑誌）

大学教育で利用されているオープンソースソフトウェアの多くは英語圏で開発されているため日本語への翻訳が必要となる．今後大学では複数のシステムにより教育支援のためのIT環境を構築することが予想されるが，システム間で用語が異なっているとユーザに違和感を抱かせる．この課題に対して，大学教育で頻出する用語および用例を包含する大規模な共通翻訳メモリを作成することによって一貫性のある翻訳が実現できると考えた．また，翻訳メモリによる翻訳では実現できないコンテキスト依存の翻訳を可能とするgettext形式のPOファイルを併用することにより，Javaで実装されたSakaiとPHPで実装されたMoodleおよびMaharaをクラウドベースの翻訳支援システムであるTransifexを用いて同一のプロセスで翻訳した．本稿では大学教育用オープンソースソフトウェアに対して一貫性のある翻訳を目指して行ったプロジェクトについて述べる．

Adaptive Reference Image Selection for Temporal Object Removal from Frontal In-vehicle Camera Image Sequences 査読有り

Toru Kotsuka, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP) 2015 頁： 233 - 239 2015年3月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

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

　前のページ - 次のページ　

<出口 大輔>

論文 - 出口 大輔

<出口　大輔>

論文 - 出口　大輔