Faculty Profiles - Deguchi Daisuke

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A study on a method for high-accuracy detection of a pedestrian holding an umbrella with generative learning

Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Takashi Machida, Yoshiko Kojima

IEICE Technical Report (PRMU) 2012.9.3

A Study on Event Detection in a Sports Game using Twitter

Taishi Tomita, Keisuke Doman, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase

HCG Symposium 2012 2012.12.11

Estimation of the human performance for pedestrian detectability based on visual search and motion features International conference

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

21st IAPR International Conference on Pattern Recognition (ICPR2012) 2012.11.14

Event date： 2012

Language：English Presentation type：Poster presentation

Venue：Tsukuba, Japan

This paper proposes a method for estimating the human performance of pedestrian detectability from in-vehicle camera images in order to warn a driver of the positions of pedestrians in an appropriate timing. By introducing features related to visual search and motion of the target, the proposed method estimates the detectability of pedestrians accurately. Support Vector Regression (SVR) is used to estimate the detectability. Here, SVR is trained using features calculated by the proposed method with the ground truth obtained through experiments with human subjects. From experiments using in-vehicle camera images, we confirmed that the proposed features were effective to estimate the detectability of pedestrians.

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

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.

Scene Segmentation of Wedding Party Videos by Scenario-based Matching with Example Videos International conference

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

19th ACM International Multimedia Conference (ACM-MM2011) 2011.12.1

A Study on Human Pose Estimation using Parametric Eigen-space Method

Nobuhiro Funatsu, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical and Related Engineering 2011 2011.9.27

A Preliminary Study on a Method for Displaying Images on Urban Structures by Augmented Reality

Hiroyuki Uchiyama, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical and Related Engineering 2011 2011.9.26

A preliminary study on the utilization of the driver's gaze information for robust segmentation of a road region

Ryuhei Sato, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical and Related Engineering 2011 2011.9.26

A study on frame localization of in-vehicle camera images using epipolar geometry

Haruya Kyutoku, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase

Tokai-Section Joint Conference on Electrical and Related Engineering 2011 2011.9.26

An investigation of the relation between a driver's gaze and a saliency map in a driving context

Keisuke Doman, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase, Yukimasa Tamatsu

Tokai-Section Joint Conference on Electrical and Related Engineering 2011 2011.9.26

Low resolution QR-code recognition by applying super-resolution using the property of QR-codes International conference

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

11th International Conference on Document Analysis and Recognition (ICDAR2011) 2011.9.20

Event date： 2011

Language：English Presentation type：Oral presentation (general)

Venue：Beijing, China

This paper proposes a method for low resolution QR-code recognition. A QR-code is a two-dimensional binary symbol that can embed various information such as characters and numbers. To recognize a QR-code correctly and stably,the resolution of an input image should be high. In practice,however, recognition of a QR-code is usually difficult due to
low resolution when it is captured from a distance. In this paper, we propose a method to improve the performance of low resolution QR-code recognition by using the super-resolution technique that generates a high resolution image from multiple low-resolution images. Although a QR-code is a binary pattern, it is observed as a grayscale image due to the degradation through the capturing process. Especially the pixels around the borders between white and black regions become ambiguous. To overcome this problem, the proposed method introduces a binary pattern constraint to generate super-resolved images appropriate for recognition. Experimental results showed that a recognition rate of 98% an be achieved by the proposed method, which is a 15.7% improvement in comparison with a method using a conventional super-resolution method.

A Study of Robust Multi-Frame Super Resolution for Non-Rigid Deformation of Face

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

IEICE Technical Report (PRMU) 2011.9.6

大局的特徴として顕著性を利用した歩行者の視認性推定

若山雅史, 道満恵介, 出口大輔, 井手一郎, 村瀬洋, 玉津幸政

画像の認識・理解シンポジウム(MIRU) 2011.7.22

車載カメラ映像中の線分の3次元位置推定と走行可能領域検出への応用

内山寛之, 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) 2011.7.22

Event date： 2011

Language：Japanese Presentation type：Poster presentation

Venue：石川県金沢市金沢市文化ホール

走行可能領域検出は車両のナビゲーションや安全運転支援において重要である．市街地の構造物の多くはポールや壁面といった線分で構成されている．そこで本論文では，走行可能領域検出を目的とし，単眼カメラを用い
て市街地の線分の3次元位置推定を行う手法を提案する．カメラの姿勢が既知の場合，線分の位置を推定するためには，画像間の線分の正確な対応付けが必要となる．そのため，少数の画像間で正しい線分の対応付けを行うために，多視点幾何拘束や市街地中の線分の特徴，車両の動きの事前知識を用いる．評価実験において，推定した線分の位置から走行可能領域の検出を行い，提案手法が走行可能領域検出に十分利用可能であることを確認した．

車載カメラ画像からの高品質な道路画像の自動構築

野田雅文, 高橋友和, 出口大輔, 井手一郎, 村瀬洋, 小島祥子, 内藤貴志

画像の認識・理解シンポジウム(MIRU) 2011.7.22

Estimation of traffic sign visibility with in-vehicle camera images using temporal information

Keisuke Doman, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase, Yukimasa Tamatsu

14th Meeting on Image Recognition & Understanding (MIRU2011) 2011.7.22

現在と過去の車載カメラ映像のフレーム間対応付け

久徳遙矢, 出口大輔, 高橋友和, 目加田慶人, 井手一郎, 村瀬洋

画像の認識・理解シンポジウム(MIRU) 2011.7.21

Event date： 2011

Language：Japanese Presentation type：Poster presentation

Venue：金沢市文化ホール

本研究では，車載カメラ映像を用いた運転者支援に注目する．その際，同じ道路で撮られた過去の映像中の対応するフレームを求める事が可能になれば，様々な用途に使うことができると考えられる．そこで本稿では，高精度な現在と過去の車載カメラ映像中のフレーム間対応付け手法を提案する．同じ道路で撮られた映像同士の対応付けであっても，走行は全く同じ速度・軌跡ではないため，単純な画像照合による対応付けは困難である．そこで，まず現在と過去のフレーム間で対応点を求め，それらからフレーム間の基礎行列を求める．次に，基礎行列から求めたエピポールの位置に基づくフレーム間の距離を定義し，この尺度を用いたDP マッチングにより，フレーム同士を対応付ける．実際の車載カメラ映像を用いた評価実験の結果，提案手法の有効性を確認した．

On-road Obstacle Detection by Comparing Present and Past In-vehicle Camera Images International conference

Haruya Kyutoku, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase

IAPR Conference on Machine Vision Applications (MVA) 2011 2011.6.14

Estimation of Traffic Sign Visibility Considering Temporal Environmental Changes for Smart Driver Assistance International conference

Keisuke Doman, Daisuke Deguchi, Tomokazu Takahashi, Yoshito Mekada, Ichiro Ide, Hiroshi Murase, Yukimasa Tamatsu

2011 IEEE Intelligent Vehicles Symposium (IV2011) 2011.6.7

Event date： 2011

Language：English Presentation type：Poster presentation

Venue：Baden-Baden, Germany

We propose a visibility estimation method for traffic signs considering temporal environmental changes, as a part of work for the realization of nuisance-free driver assistance systems. Recently, the number of driver assistance systems in a vehicle is increasing. Accordingly, it is becoming important to sort out appropriate information provided from them, because providing too much information may cause driver distraction. To solve such a problem, we focus on a visibility estimation method for controlling the information according to the visibility of a traffic sign. The proposed method sequentially captures a traffic sign by an in-vehicle camera, and estimates its accumulative visibility by integrating a series of instantaneous visibility. By this way, even if the environmental conditions may change temporally and complicatedly, we can still accurately estimate the visibility that the driver perceives in an actual traffic scene. We also investigate the performance of the proposed method and show its effectiveness.

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