Faculty Profiles - Deguchi Daisuke

Presentations -

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Image transformation of eye area for synthesizing eye-contacts in video conferencing

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

18th Meeting on Image Recognition & Understanding (MIRU2015) 2015.7.29

Typicality analysis of the combination of ingredients in a cooking recipe for assisting the arrangement of ingredients International conference

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

2015 IEEE International Conference on Multimedia and Expo (ICME2012) 2015.7.3

Event date： 2015

Language：English Presentation type：Oral presentation (general)

Venue：Torino, Italy

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.

Pedestrian Orientation Classification Utilizing Single-Chip Coaxial RGB-ToF Camera International conference

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

Workshop on Environment Perception for Automated On-road Vehicles in conjunction with 2015 IEEE Intelligent Vehicles Symposium (IV2015) 2015.6.28

Event date： 2015

Language：English Presentation type：Oral presentation (general)

Venue：Seoul, Korea

This paper proposes a method for pedestrian orientation classification. In image recognition, the accuracy is often degraded by the influence of background. In addition, it is also difficult to remove the background and extract only the human body from an image. To overcome these problems, we utilize a single-chip RGB-ToF camera. This camera can acquire RGB and depth images along the same optical axis at the same moment, and thus segmentation of the RGB image becomes easier by using the coaxial depth image. Our proposed method segmented a human body from its background accurately, which lead to the improvement of the accuracy of pedestrian orientation classification.

Pedestrian's Inattention Estimation based on Recognition of Texting While Walking from In-Vehicle Camera Images

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

IEICE Technical Report (PRMU) 2015.6.18

A study on analyzing the attractiveness of food photos using image features

Kazuma Takahashi, Keisuke Doman, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

2015.6.11

A study on selecting scenes that match the news contents for news video summarization

Ye Zhang, Ryunosuke Tanishige, Keisuke Doman, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (MVE) 2015.6.9

Translating Apereo Software: A Case Study using Sakai and Transifex International conference

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

Open Apereo 2015 2015.6.3

Event date： 2015

Language：English Presentation type：Oral presentation (general)

Venue：Baltimore, Maryland, USA

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

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

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

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