Faculty Profiles - Deguchi Daisuke

Presentations -

Division display 481 - 500 of about 713 ／ All the affair displays >>

Detection and classification of repetitious human motions combining shift variant and invariant features International conference

Ichiro Ide, Taku Kuhara, Daisuke Deguchi, Tomokazu Takahashi, Hiroshi Murase

3rd International Conference on Emerging Security Technologies (EST2012) 2012.9

多数決型co-trainingによる道路標識検出器の構築に関する検討

児島勇司, 出口大輔, 井手一郎, 村瀬洋

画像の認識・理解シンポジウム(MIRU) 2012.8.8

顔と体の姿勢情報を利用した人物動画像からの視線方向推定に関する検討

船津暢宏, 高橋友和, 出口大輔, 井手一郎, 村瀬洋

画像の認識・理解シンポジウム(MIRU) 2012.8.8

Event date： 2012

Language：Japanese Presentation type：Poster presentation

Venue：福岡国際会議場

カメラを用いて人物の視線方向を推定する技術が注目されている．これに関して，低解像度や遮蔽などが原因で画像中から人物の目領域を検出するのが困難な場合に，顔の向きを視線方向の代わりとして利用する研究がある．しかしながら，実際には顔の向きの他にも，体の向きやそれらの時間変化，人物がおかれている状況なども視線方向に影響を与える要因として考えられる．そこで本研究では，これらの情報を利用して視線方向をより高精度に推定することを目的としている．発表ではそれらの要因のうち，特に顔の向きと体の向き着目し，体に対する顔の向きと視線方向との関係を被験者実験により調査した結果について報告する．さらに，その調査結果に基づいた視線方向推定を行い，その推定誤差を評価した．その結果，体に対する顔の向きを利用した場合，顔の向きを視線方向として利用する場合よりも推定誤差が平均 14.9 度小さくなることを確認した．

A Study on Spatio-Temporal CoHOG Features for Recognition of Generic Objects in Video

Shogo Nakamura, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2011.12.15

PRMU Algorithm Contest 2010 "Lock on targets! - object tracking -"

Daisuke Deguchi, Hiroshi Murase, Kazuaki Umeda, Masataka Saito, Kenichiro Fuji, Shingo Yamashita, Yuki Suetsugu, Syota Takai, Ryuta Sato, Takuma Maruyama

IEICE Technical Report (PRMU) 2011.3

Pedestrian Detection from In-vehicle Camera Images using Scene Context Information

Daisuke Hamada, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase

2011 IEICE General Conference 2011.3

Pedestrian Detection with Generative Learning Method Considering Varying Pose

Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Kunihiro Goto, Yoshikatsu Kimura, Takashi Naito

2011 IEICE General Conference 2011.3

Person Re-identification at a Room Entrance by Adaptive Feature Selection

Takuya Honda, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2011.3

Proposal of a Sight-seeing Map with Visual Classification and Presentation of Photos on the Web

Jiani Wang, Masafumi Noda, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (MVE) 2011.3

Scene Segmentation of a Wedding Party Video by Scenario-based Matching with Example Videos

Kazuki Sawai, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (MVE) 2011.3

Study on super-resolution under facial pose variation for low-resolution face recognition

Tomonari Yoshida, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

2011 IEICE General Conference 2011.3

Summarizing sports video by on-the-spot comments on Twitter

Takashi Kobayashi, Masafumi Noda, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (MVE) 2011.3

Summarizing sports video by on-the-spot comments on Twitter

Takashi Kobayashi, Masafumi Noda, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

2011.3

Video-based Generic Object Recognition by Combining Motion Features and BoF

Shogo Nakamura, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

IEICE Technical Report (PRMU) 2011.1.21

Quantification of the Visibility of Pedestrians Based on Integration of Local and Global Features

Masashi Wakayama, Keisuke Doman, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Yukimasa Tamatsu

IEICE Technical Report (PRMU) 2011.1

A study on a method for stable pedestrian detection against pose changes with generative learning

Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Kunihiro Goto, Yoshikatsu Kimura, Takashi Naito

IEICE Technical Report (PRMU) 2011.5.20

Advertisements on Urban Structures by Augmented Reality

Hiroyuki Uchiyama, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Takahito Kawanishi, Kunio Kashino

Vision Engineering Workshop (ViEW) 2011 2011.12.9

Multi-frame super-resolution for low resolution QR-code recognition

Yuji Kato, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

Vision Engineering Workshop (ViEW) 2011 2011.12.9

Road-image Map Construction Using Low-resolution Aerial Image and In-vehicle Camera Images

Masafumi Noda, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Yoshiko Kojima, Takashi Naito

Vision Engineering Workshop (ViEW) 2011 2011.12.9

Detection of Inconsistency between Subject and Speaker based on the Co-occurrence of Lip Motion and Voice Towards Speech Scene Extraction from News Videos International conference

Shogo Kumagai, Keisuke Doman, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

2011 IEEE International Symposium on Multimedia (ISM2011) 2011.12.6

Event date： 2011

Language：English Presentation type：Oral presentation (general)

Venue：Dana Point, California USA

We propose a method to detect the inconsistency between a subject and the speaker for extracting speech scenes from news videos.
Speech scenes in news videos contain a wealth of multimedia information, and are valuable as archived material.
In order to extract speech scenes from news videos, there is an approach that uses the position and size of a face region.
However, it is difficult to extract them with only such approach, since news videos contain non-speech scenes where the speaker is not the subject, such as narrated scenes.
To solve this problem, we propose a method to discriminate between speech scenes and narrated scenes based on the co-occurrence between a subject's lip motion and the speaker's voice.
The proposed method uses lip shape and degree of lip opening as visual features representing a subject's lip motion, and uses voice volume and phoneme as audio feature representing a speaker's voice.
Then, the proposed method discriminates between speech scenes and narrated scenes based on the correlations of these features.
We report the results of experiments on videos captured in a laboratory condition and also on actual broadcast news videos.
Their results showed the effectiveness of our method and the feasibility of our research goal.

　 PREV - NEXT 　

<Deguchi Daisuke>

Presentations -