Faculty Profiles - Deguchi Daisuke

Presentations -

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A study on deep manifold embedding for object pose estimation

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

19th Meeting on Image Recognition & Understanding (MIRU2016) 2016.8.4

A Preliminarily Study on Multi-Frames Features for LIDAR-Based Pedestrian Detection

Yoshiki Tatebe, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase, Utsushi Sakai

IEICE Technical Report (PRMU) 2016.9.5

Subjective Sensing of Real World Activity on Group Study International conference

Daisuke Deguchi, Kazuaki Kondo, Atsushi Shimada

18th International Conference on Collaboration Technologies (CollabTech2016) 2016.9.16

Event date： 2016

Language：English Presentation type：Poster presentation

Venue：しいのき迎賓館, 金沢市

Collaborative learning is efficient teaching/learning method, and it is widely introduced and practiced in various situations. However, it has a difficulty to perform formative assessment and real time evaluation without students' feedbacks. Therefore, demand for technologies to support formative assessment in collaborative learning is increasing. To tackle this problem, we have started the research project for automatic sensing and visualization of real world activities in collaborative learning. In this paper, we will report details about preliminary group work experiments and its results with visualization tool.

A Study for Applications of the Detection Method of Similar Geo-Regions based on Photographic Contents

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

IEICE Technical Report (MVE) 2016.10.13

Accuracy improvement of food photo attractiveness estimation based on consideration of image features

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

IEICE Technical Report (MVE) 2016.10.13

The proposal of encoding marker using local feature for posture estimation (in Japanese)

Norimasa Kobori, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (IE) 2016.10.6

Moving camera background-subtraction for obstacle detection on railway tracks International conference

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

2016 IEEE International Conference on Image Processing (ICIP2016) 2016.9.25

Event date： 2016

Language：English Presentation type：Poster presentation

Venue：Phoenix, Arizona, USA

This paper proposes a method for detecting obstacles using train frontal view videos.
In recent years, obstacles detection using in-vehicle camera is actively developed for satisfying demands from various applications.
In the field of obstacle detection, most methods employ machine learning approach, and they can detect only trained obstacles, such as pedestrian, bicycle, etc.
Therefore, they cannot detect untrained general obstacles.
To overcome this problem, this paper propose a background subtraction method using moving camera.
The proposed method first computes frame-by-frame correspondences between the present and the database train frontal view image sequences, and detects obstacles by applying image subtraction to corresponding frames.
To confirm the effectiveness of the proposed method, experiments were conducted by using several image sequences captured at the experimental railroad track.
The experimental result showed that the proposed method could detect various obstacles accurately and effectively.

DOI： 10.1109/ICIP.2016.7533104

Pedestrian Attributes Recognition from an Image: A Survey

Yasutomo Kawanishi, Fumito Shinmura, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (PRMU) 2015.12.22

Taste and Texure Estimation of Food Based on Food Image and Ingredients List

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

IEICE Technical Report (MVE) 2015.3.3

Toward understanding cooking activities based on gaze analysis

Hiroya Inoue, Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

IEICE Technical Report (MVE) 2015.3.3

Typicality Analysis of the Combination of Ingredients in Cooking Recipes

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

IEICE Technical Report (MVE) 2015.3.3

A Study on Human Tracking using a Far-Infrared Sensor Array and a Thermo-Spatial Sensitive Histogram

Takashi Hosono, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Tomoyoshi Aizawa, Masato Kawade

IEICE Technical Report (PRMU) 2015.1.23

A study on detection of the type of a baggage utilizing multiple-viewpoints human images

Yasuhiro Asai, Kento Nishibori, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2015.1.23

A study on hand waving gesture recognition by thermo-spatial restriction using a far-infrared sensor array

Chisato Toriyama, Takashi Hosono, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2015.1.22

Cooking Operation Classification Based on Analysis of Eye Movement Patterns

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

2015.12.16

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 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

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