研究者詳細 - 出口　大輔

論文 - 出口　大輔

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社本裕司, 井手一郎, 出口大輔, 高橋友和, 村瀬洋

情報処理学会論文誌 52 巻 ( 12 ) 頁： 3593 - 3598 2011年12月

記述言語：日本語掲載種別：研究論文（学術雑誌）

我々は，日々増え続ける大量の放送映像からなるアーカイブを効果的かつ効率的に利用するために，映像内容に基づく構造化に取り組んでいる．本稿では，共通の枠組みの中で，様々な種類の放送映像を対象とした構造化を実現するための手段として，準同一（near-duplicate）映像の出現パターンに基づく分類を検討した結果を報告する．実際に，1,000 時間規模の放送映像に対する実験により，約360 万対の準同一映像区間を検出し，それを約4 万個のクラスタにまとめた後，6 種類の準同一映像クラスに分類した結果について分析することで，提案手法の効果と課題を明らかにする．

Web上の大量の写真に対する画像分類による観光マップの作成査読有り

王佳妮, 野田雅文, 高橋友和, 出口大輔, 井手一郎, 村瀬洋

情報処理学会論文誌 52 巻 ( 12 ) 頁： 3588 - 3592 2011年12月

記述言語：日本語掲載種別：研究論文（学術雑誌）

近年Web上には大量のジオタグ（撮影時のGPS情報）付き写真がアップロードされており，旅行を計画中のユーザは，旅行先の雰囲気を事前に視覚的に知ることができる．しかしながら，既存の写真共有サービスなどは単純に写真を地図上に配置するだけであるため，旅行先に関する土地勘がないユーザが必要とする情報を直感的に得ることは難しい．そこで，我々は大量の写真を風景によって分類し，多くの人が注
目した風景の写真を，旅行を計画するユーザに対して直感的に分かりやすく表現した地図である「観光マップ」を提案する．本稿では，観光マップ作成手法およびその有効性に関する初期的な検討結果について報告する．

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

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

Proceedings of 2011 IEEE International Symposium on Multimedia (ISM2011) 頁： 311 - 318 2011年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

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.

調理映像中の繰返し調理動作の検出査読有り

久原卓, 出口大輔, 高橋友和, 井手一郎, 村瀬洋

電子情報通信学会論文誌 J94-D 巻 ( 12 ) 頁： 1983 - 1985 2011年12月

記述言語：日本語掲載種別：研究論文（学術雑誌）

本論文では，調理映像中の「切る」や「混ぜる」といった繰返し動作を検出する手法について検討した結果を報告する．繰返し動作の検出には，映像フレーム中の動作位置に依存しない特徴（CHLAC特徴）と依存する特徴（2値特徴）を用いる．これにより，繰返し動作領域の位置が大きく移動する動作及び一定である動作の両方に対応する．実際の料理番組映像に本手法を適用した結果，F値0.86の精度で検出できることを確認した．

複数画像系列の部分画像選択に基づく移動物体を含まない車載カメラ映像の生成査読有り

内山寛之, 高橋友和, 出口大輔, 井手一郎, 村瀬洋

電子情報通信学会論文誌 J94-D 巻 ( 12 ) 頁： 2093 - 2104 2011年12月

記述言語：日本語掲載種別：研究論文（学術雑誌）

近年，市街地映像を利用した運転支援システムが注目されている．また，“Googleストリートビュー”のような，市街地映像をインターネット上で閲覧できるサービスも提供されている．しかし，画像中に車両や歩行者などの移動物体が映り込むことが，遮へいやプライバシー保護の点で問題となっている．そこで本論文では，複数の車載全方位カメラ映像の部分画像を選択して貼り合わせることにより，移動物体を含まない映像を生成する手法を提案する．まず，カメラを搭載した車両が同じ経路を複数回走行することで，異なる時刻の複数の映像を収集する．そして，これらの映像間の時間方向と空間方向のレジストレーションを行う．次に，画像の同位置において移動物体が映っている頻度は少ないという仮定のもと，定義した評価関数を最小化することで，背景らしい部分画像を選択する．最後に，選択された部分画像を張り合わせることにより，移動物体を含まない市街地映像を作成する．市街地を撮影した実際の全方位カメラ映像を用いた実験により，移動物体の領域の96.5 %を除去した映像を生成することに成功した．

Scene Segmentation of Wedding Party Videos by Scenario-based Matching with Example Videos 査読有り

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

Proceedings of the 19th ACM International Multimedia Conference (ACM-MM2011) 頁： 1545 - 1548 2011年12月

MEMSジャイロセンサと単眼カメラを利用した高精度で頑健な姿勢推定査読有り

小堀訓成, 出口大輔, 高橋友和, 井手一郎, 村瀬洋

計測自動制御学会論文集 47 巻 ( 10 ) 頁： 442 - 449 2011年10月

記述言語：日本語掲載種別：研究論文（学術雑誌）

In order to estimate accurate rotations of mobile robots and vehicle, we propose a hybrid system which combines a low-cost monocular camera with gyro sensors. Gyro sensors have drift errors that accumulate over time. On the other hand, a camera cannot obtain the rotation continuously in the case where feature points cannot be extracted from images, although the accuracy is better than gyro sensors. To solve these problems we propose a method for combining these sensors based on Extended Kalman Filter. The errors of the gyro sensors are corrected by referring to the rotations obtained from the camera. In addition, by using the reliability judgment of camera rotations and devising the state value of the Extended Kalman Filter, even when the rotation is not continuously observable from the camera, the proposed method shows a good performance. Experimental results showed the effectiveness of the proposed method.

Low resolution QR-code recognition by applying super-resolution using the property of QR-codes 査読有り

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

Proceedings of the 11th International Conference on Document Analysis and Recognition (ICDAR2011) 頁： 992 - 996 2011年9月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

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.

Power-efficient hardware architecture of K-Means clustering with Bayesian-Information-Criterion processor for multimedia processing applications 査読有り

Tse-Wei Chen, Chih-Hao Sun, Hsiao-Hang Su, Shao-Yi Chien, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

IEEE Journal on Emerging and Selected Topics in Circuits and Systems 1 巻 ( 3 ) 頁： 357 - 368 2011年9月

記述言語：英語掲載種別：研究論文（学術雑誌）

A power-efficient K-Means hardware architecture that can automatically estimate the number of clusters in the clustering process is proposed. The contributions of this work include two main aspects. The first is the integration of the hierarchical data sampling in the hardware to accelerate the clustering speed. The second is the development of the Bayesian-Information-Criterion (BIC) Processor" to estimate the number of clusters of K-Means. The architecture of the "BIC Processor" is designed based on the simplification of the BIC computations, and the precision of the logarithm function is also analyzed. The experiments show that the proposed architecture can be employed in different multimedia applications, such as motion segmentation and edge-adaptive noise reduction. Besides, the gate count of the hardware is 51 K with the 90-nm complimentary metal-oxide-semiconductor technology. It is also shown that this work can achieve high efficiency compared with a GPU, and the power consumption scales well with the number of clusters and the number of dimensions. The power consumption ranges between 10.72 and 12.95 mW in different modes when the operating frequency is 233 MHz."

DOI： 10.1109/JETCAS.2011.2165231

マルチメディア情報の補足による初心者向け料理レシピの作成へ向けて査読有り

志土地由香, 井手一郎, 中村裕一, 出口大輔, 高橋友和, 村瀬洋

電子情報通信学会論文誌 J94-A 巻 ( 7 ) 頁： 544 - 547 2011年7月

記述言語：日本語掲載種別：研究論文（学術雑誌）

既存のテキスト料理レシピから初心者に分かりにくい表現を検出した後，大量の料理レシピから抽出した情報に基づいてテキストを，調理動作の種類に応じて画像・映像を補足することで，分かりやすいマルチメディア料理レシピを作る方法を検討した．

On-road Obstacle Detection by Comparing Present and Past In-vehicle Camera Images 査読有り

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

Proceedings of IAPR Conference on Machine Vision Applications (MVA) 2011 頁： 357 - 360 2011年6月

Estimation of Traffic Sign Visibility Considering Temporal Environmental Changes for Smart Driver Assistance 査読有り

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

Proceedings of 2011 IEEE Intelligent Vehicles Symposium (IV2011) 頁： 667 - 672 2011年6月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

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.

Road Image Update using In-vehicle Camera Images and Aerial Image 査読有り

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

Proceedings of 2011 IEEE Intelligent Vehicles Symposium (IV2011) 頁： 460 - 465 2011年6月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Road image is becoming important for several
applications such as car navigation systems, traffic environment
research, city modeling. Usually, a road image can be obtained
from an aerial image but the resolution of the aerial image is
often low, or it contains occlusions by obstacles. Therefore, the
update of road image is required. In this paper, we propose a
road image mosaicing method using in-vehicle camera images
and an aerial image. We first perform image registration of road
regions between these images, and then, we generate a large road
image by performing image mosaicing of road regions in invehicle
camera images. In an experiment, we achieved resolution
improvement and occlusions removal, and also succeeded in
update of a large road image.

3-D Line Segment Reconstruction Using an In-Vehicle Camera for Free Space Detection 査読有り

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

Proceedings of 2011 IEEE Intelligent Vehicles Symposium (IV2011) 頁： 290 - 295 2011年6月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Free space detection is very important for vehicle navigation and safe driving. 3-D line segment reconstruction
of a street is important for the free space detection because a street-view includes many line segments. For the free space
detection, we propose a method for reconstructing 3-D line segments in a streetscape using a monocular in-vehicle camera.
The 3-D reconstruction of the line segments is achieved by using each three images from an image sequence. Once accurate
camera poses of these images are obtained, one of the remaining crucial problems is to match the line segments between the
images correctly. A strategy for finding correspondence of the line segments is as follows: First, the correspondences of line
segment candidates are searched by using a two-view constraint. However, the two-view constraint has difficulty on determining
an unique correspondence geometrically. Therefore, the candidates of the line segment correspondences are reduced using
a three-view constraint. In order to improve the accuracy, the proposed method exploits a color feature of the line segment
and a preliminary knowledge of the vehicle motion. Finally, the line segments are reconstructed using the correspondences.
From an experimental result, we confirmed the effectiveness of the proposed method. Application to the free space detection
demonstrated the usefulness of the reconstructed line segments.

Intelligent Traffic Sign Detector: Adaptive Learning Based on Online Gathering of Training Samples 査読有り

Daisuke Deguchi, Mitsunori Shirasuna, Keisuke Doman, Ichiro Ide, Hiroshi Murase

Proceedings of 2011 IEEE Intelligent Vehicles Symposium (IV2011) 頁： 72 - 77 2011年6月

担当区分：筆頭著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

This paper proposes an intelligent traffic sign detector using adaptive learning based on online gathering of training samples from in-vehicle camera image sequences. To detect traffic signs accurately from in-vehicle camera images, various training samples of traffic signs are needed. In addition, to reduce false alarms, various background images should also be prepared before constructing the detector. However, since their appearances vary widely, it is difficult to obtain them exhaustively by manual intervention. Therefore, the proposed method simultaneously obtains both traffic sign images and background images from in-vehicle camera images. Especially, to reduce false alarms, the proposed method gathers background images that were easily mis-detected by a previously constructed traffic sign detector, and re-trains the detector by using them as negative samples. By using retrospectively tracked traffic sign images and background images as positive and negative training samples, respectively, the proposed method constructs a highly accurate traffic sign detector automatically. Experimental results showed the effectiveness of the proposed method.

位置依存型識別器を用いた車載カメラ画像からの路面標示検出査読有り

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

電気学会論文誌D 131 巻 ( 4 ) 頁： 466 - 474 2011年4月

記述言語：日本語掲載種別：研究論文（学術雑誌）

In this study, we propose a method for detecting road markings recorded in an image captured by an in-vehicle camera by using a position-dependent classifier. Road markings are symbols painted on the road surface that help in preventing traffic accidents and in ensuring traffic smooth. Therefore, driver support systems for detecting road markings, such as a system that provides warning in the case when traffic signs are overlooked, and supporting the stopping of a vehicle are required. It is difficult to detect road markings because their appearance changes with the actual traffic conditions, e. g. the shape and resolution change. The variation in these appearances depend on the positional relation between the vehicle and the road markings, and on the vehicle posture. Although these variations are quite large in an entire image, they are relatively small in a local area of the image. Therefore, we try to improve the detection performance by taking into account the local variations in these appearances. We propose a method in which a position-dependent classifier is used to detect road markings recorded in images captured by an in-vehicle camera. Further, to train the classifier efficiently, we propose a generative learning method that takes into consideration the positional relation between the vehicle and road markings, and also the vehicle posture. Experimental results showed that the detection performance when the proposed method was used was better than when a method involving a single classifier was used.

DOI： 10.1541/ieejias.131.466

Accurate and Robust Attitude Estimation of a Moving Vehicle Using MEMS Gyroscopes and a Monocular Camera 査読有り

Norimasa Kobori, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase

Proceedings of 2010 Workshop on Picture Coding and Image Processing (WPCIP 2010) 2010年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

In order to estimate accurate attitude of mobile robots and　vehicles, we propose a hybrid system which combines a lowcost　monocular camera with a gyro sensor. A gyro sensor has　drift errors that accumulate over time. On the other hand, a　camera cannot obtain the rotation continuously in the case　where feature points cannot be extracted from images, although　the accuracy is better than a gyro sensor. To solve　these problems, we propose a method for combining these　sensors based on an Extended Kalman Filter.

拡張DPマッチングを用いた視野角の異なるカメラ映像間の時空間対応付けによる自車位置推定査読有り

内山寛之, 出口大輔, 高橋友和, 井手一郎, 村瀬洋

電子情報通信学会論文誌 J93-D 巻 ( 12 ) 頁： 2659 - 2665 2010年12月

記述言語：日本語掲載種別：研究論文（学術雑誌）

本論文では，データベース作成時に全方位カメラ，位置推定時に通常カメラを使用するアピアランスベースの自車位置推定手法を提案する．従来のアピアランスベースの自車位置推定では，データベース作成時と位置推定時で同一種類のカメラが使用されることが多い．しかし，位置推定精度やカメラの設置位置の制約などの点で問題となることがある．提案手法では，通常カメラ映像のフレームに対応する全方位カメラ映像のフレームと，そのフレーム中の領域を探索する．しかし，市街地では類似する物体が多く存在し，単一フレーム照合では正確な照合が難しい．そのため，複数フレーム照合を用いることで精度の向上を図る必要がある．これを実現するため，フレームと領域を考慮した映像間の照合コストを定式化する．そして，動的計画法によりこれを最小化するためのアルゴリズムを導入し，このアルゴリズムを用いて映像全体で最適に対応づける．データベース内のフレームには位置情報が付加されており，これにより自車位置を得る．実際に市街地で撮影した映像を用いた評価実験の結果，自車位置推定誤差が2m以下の割合が，領域の対応付けを行わない手法で77%，提案手
法で90%であり，提案手法の有効性を確認した．

Multimedia supplementation to a cooking recipe text for facilitating its understanding to inexperienced users 査読有り

Ichiro Ide, Yuka Shidochi, Yuichi Nakamura, Daisuke Deguchi, Tomokazu Takahashi, Hiroshi Murase

Proceedings of the 2nd Workshop on Cooking and Eating Activities (CEA2010) 頁： 242 - 247 2010年12月

Frontal Face Generation from Multiple Low-Resolution Non-Frontal Faces for Face Recognition 査読有り

Yuki Kono, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase

Proceedings of the 10th International Workshop on Visual Surveillance 2010 2010年11月

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