Faculty Profiles - Deguchi Daisuke

Presentations -

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A Preliminarily Study on Pedestrian Detectability Estimation Considering Visual Adaptation to Lighting Changes

Yuki Imaeda, Takatsugu Hirayama, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2016.10.21

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

Human Body Segmentation Using Texture Aware Grab-cut and Statistical Shape Models International conference

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

22th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2016) 2016.2.17

Event date： 2016

Language：English Presentation type：Oral presentation (general)

Venue：Takayama, Gifu Prefecture

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.

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

A Study on Deep Manifold Embedding for 3D Object Pose Estimation

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

2016 IEICE General Conference 2016.3.16

A Study on Specific Object Detection under Extreme Lighting Conditions by HDR Camera

Miho Komatsu, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2016 IEICE General Conference 2016.3.16

輝度の明滅が歩行者の見つけやすさに与える影響の初期検討

日比雅仁, 平山高嗣, 出口大輔, 川西康友, 井手一郎, 村瀬洋

電子情報通信学会総合大会 2016.3.15

A Study on the Detection of Wheelchair Users based on Parts Tracking

Ukyo Tanikawa, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2016 IEICE General Conference 2016.3.15

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