Faculty Profiles - Deguchi Daisuke

Presentations -

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傘による遮蔽に頑健なパーツ参照型歩行者検出

新保祐人, 出口大輔, 川西康友, 井手一郎, 村瀬洋

動的画像処理実利用化ワークショップ(DIA) 2017.3.9

Event date： 2017

Language：Japanese Presentation type：Oral presentation (general)

Venue：島根県立産業交流会館　くにびきメッセ

近年，自動運転の実現に向けて自動車の周囲環境認識に関する研究が盛んに行なわれている．
その中でも，見落としが重大な事故につながる歩行者の検出は重要な課題である．しかし，傘を差した
歩行者は，傘によって頭部が遮蔽されるため検出が困難な対象として知られている．そこで本発表で
は，傘差し歩行者検出の高精度化を目的とし，パーツ参照型歩行者検出手法であるParts Driven Faster
RCNN を提案する．具体的には，Faster RCNN の候補領域抽出部において，傘と歩行者の関係性を学
習して傘の候補領域から歩行者の候補領域を推定することにより，頭部が遮蔽された歩行者でも候補領
域として抽出できるようにする．提案手法の有効性を確認するため，雨天時に撮影した車載カメラ画像
系列を用いて評価実験を行ない，傘差し歩行者に対して検出精度が向上することを確認した．

An analysis on deep learning based action recognition from extremely low-resolution thermal image sequence

Takayuki Kawashima, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2017 2017.9.7

チャンネル特徴量を用いた歩行者検出技術

出口大輔

技術情報協会セミナー「歩行者検出における画像認識・LIDARの適用技術と自動運転への応用」 2017.1.11

A Study on an Efficient Pedestrian Scanning Method by Active Scan LIDAR

Taiki Yamamoto, Fumito Shinmura, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2017 2017.9.7

A food image dataset tagged with attractiveness scores according to view-points (in Japanese)

Ichiro Ide, Kazuma Takahashi, Keisuke Doman, Yasutomo Kawanishi, Takatsugu Hirayama, Daisuke Deguchi, Hiroshi Murase

Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering 2017 2017.9.7

Questionnaire survey for utilization of e-textbook in higher education

Daisuke Deguchi, Takaya Yamazato, Shigeki Ohira, Tomoki Toda, Hidehiro Nakajima, Katsusuke Shigeta, Yoshihiro Okada, Kazutsuna Yamaji

2016.12.15

Pedestrian Recognition for Proa ctive Driving Support System

Fumito Shinmura, Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Hiroshi Fukui, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi, Hiroshi Murase

2016.10.19

Obstacle detection with train frontal view camera

Hiroki Mukoujima, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Masato Ukai, Nozomi Nagamine, Ryuta Nakasone

19th Meeting on Image Recognition & Understanding (MIRU2016) 2016.8.3

A study on detection of pedestrians using umbrellas from an in-vehicle camera

Yuto Shimbo, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

19th Meeting on Image Recognition & Understanding (MIRU2016) 2016.8.2

A study on estimating the attractiveness of food images for photography assistance

Kazuma Takahashi, Keisuke Doman, Yasutomo Kawanishi, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

19th Meeting on Image Recognition & Understanding (MIRU2016) 2016.8.2

Image Selection Method with Object Recognition towards Automatic Authoring Of Video Obituary using Web Contents

Kyoka Kunishiro, Frank Nack, Ichiro Ide, Yasutomo Kawanishi, Daisuke Deguchi, Hiroshi Murase

19th Meeting on Image Recognition & Understanding (MIRU2016) 2016.8.2

Parts Selective DPM for detection of pedestrians possessing an umbrella International conference

Yuto Shimbo, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2016 IEEE Intelligent Vehicles Symposium (IV2016) 2016.6.19

Event date： 2016

Language：English Presentation type：Poster presentation

Venue：Gothenburg, Sweden

In recent years, pedestrian detection from an invehicle camera has been attracting attention.However, in the case of a raining situation, the detection accuracy decreases because the head of a pedestrian tends to be occluded by an umbrella. In oder to handle such cases, in this paper, as a variation of the Deformable Part Model (DPM) which is widely used in the field of object recognition, we propose Parts Selective DPM (PS-DPM)" which selectively chooses the original part filters and additional part filters trained independently. In the detection of pedestrians possessing an umbrella, the selection of head and umbrella parts will make pedestrian detection more robust to the occlusion. We conducted experiments to evaluate the performance of the proposed method. As a result, pedestrian detection with the proposed PS-DPM achieved high detection accuracy in rainy weather, compared with the detection by the conventional DPM. Moreover, we confirmed that it did not decrease the pedestrian detection accuracy in fine weather."

A Study on Activity Recognition based on Temporal Change of the Temperature Distribution obtained from a Far-Infrared Sensor Array

Takayuki Kawashima, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Tomoyoshi Aizawa, Masato Kawade

IEICE Technical Report (PRMU) 2016.6.14

A Study on the Detection of Wheelchair Users Combined with Parts Tracking

Ukyo Tanikawa, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Ryo Kawai, Toshikazu Sekiya

IEICE Technical Report (PRMU) 2016.6.14

Preliminary study on deep manifold embedding for 3D object pose estimation

Hiroshi Ninomiya, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Norimasa Kobori, Kunimatsu Hashimoto

IEICE Technical Report (PRMU) 2016.6.13

A Study on the Calculation of Geo-Regional Similarity based on the Contents of Social Photos

Hiroki Takimoto, Yasutomo Kawanishi, Ichiro Ide, Takatsugu Hirayama, Keisuke Doman, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (MVE) 2016.6.2

Ja Sakai Panel Session

Daisuke Deguchi, Soichiro Fujii, Hisashi Hatakeyama, Shoji Kajita, Yuji Tokiwa

Open Apereo 2016 2016.5.25

Event date： 2016

Language：English Presentation type：Oral presentation (general)

Venue：New York University (Kimmel Centre for University Life)

Ja Sakai is a regional community of Apereo Foundation in Japan and coordinating activities in Japanese universities and affiliates. In addition to i18n contribution, several unique projects are carried on. In this panel session we will talk about the following; (1) Community translation using Transifex (2) LTI based presentation evaluation tool (3) Showcase of Sakai in universities (4) Learning analysis using IMS Caliper

人体部位の相対的位置関係を利用したオノマトペ歩容映像の識別に関する検討

加藤大貴, 平山高嗣, 川西康友, 道満恵介, 井手一郎, 出口大輔, 村瀬洋

コンピュータビジョンとイメージメディア研究会(CVIM) 2016.5.12

A study on estimating the attractiveness of food photography International conference

Kazuma Takahashi, Keisuke Doman, Yasutomo Kawanishi, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

2016 IEEE Second International Conference on Multimedia Big Data 2016.4.22

Event date： 2016

Language：English Presentation type：Oral presentation (general)

Venue：Taipei, Taiwan

This paper proposes a method for estimating the attractiveness of food photos in order to assist a user to shoot them attractively.
The proposed method extracts both color and shape features from input food images, and then integrates them according to a regression scheme.
By this way, the proposed method estimates the attractiveness of an unknown food photo.
We also created a food image dataset taken from various 3D-angles for each food category, and set target values of their attractiveness through subjective experiments.
Then, we evaluated the performance of the proposed method in two different ways of constructing the attractiveness estimator: One that constructs it for each food category, and the other that constructs a common attractiveness estimator for all food categories.
Experimental results showed the effectiveness of the proposed method in addition to the necessity for adaptively selecting the estimator depending on the appearance of foods for further performance improvement.

A Study on Activity Recognition based on Body Segmentation Using a Far-Infrared Sensor Array

Takayuki Kawashima, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2016 IEICE General Conference 2016.3.17

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