研究者詳細 - 神谷　亨

論文 - 神谷　亨

分割表示751 件中 441 - 460 件目／全件表示 >>

Detection of underwater objects based on machine learning 査読有り

Tan Y., Tan J., Kim H., Ishikawa S.

Proceedings of the SICE Annual Conference 2104 - 2109 2013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）

Side-scan and forward-looking sonars are some of the most widely used imaging systems for obtaining large scale images of the seafloor, and their use continues to expand rapidly with their increased deployment on autonomous underwater vehicles. However, it is difficult to extract quantitative information from the images generated from these processes, particularly for the detection and extraction of information on the objects within these images. We propose in this paper an algorithm for automatic detection of underwater objects in side-scan images based on machine learning employing adaptive boosting. Experimental results show that the method produces consistent maps of the seafloor.

Scopus

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Detecting foreground objects by sequential background inference in a video captured by a moving camera 査読有り

Setyawan F., Tan J., Kim H., Ishikawa S.

Proceedings of the SICE Annual Conference 1699 - 1702 2013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）

This paper proposes a technique to separate foreground objects from the background in a video taken with a moving camera. In this technique, the first image frame is considered as the first background. The next image frame is an image containing foreground objects. The next image frame is conditioned to have the same position with the first background. Adjustment of the position between the two image frames is done by determining the image features of the two images using Harris corner detector method. After image features have been obtained, feature point correspondence between the first background image and a subsequent image is searched for using Lucas-Kanade tracker. Outlier pairs are discarded by RANSAC. By the employment of a set of feature point pairs, the 2D projective transform is computed between the two images. Furthermore it is determined whether a pixel is included in the foreground or the background. Experimental results show satisfactory performance of the proposed method.

Scopus

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Classifying 2D and 3D objects on a road employing the road plane 査読有り

Qian S., Tan J., Kim H., Ishikawa S., Morie T., Shinomiya T.

Proceedings of the SICE Annual Conference 1689 - 1692 2013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）

Obstacles detection is an important technology in autonomous collision avoidance systems. We have already proposed an obstacle detection method based on background modeling. But this method detects 2D and 3D objects simultaneously. Since these 2D objects are not dangerous to driving, they will reduce the accuracy of detection if they are detected as obstacles. In order not to detect these 2D objects, this paper proposes a method for classifying 2D objects and 3D objects. The proposed method first estimates the camera motion parameters from the correspondences of feature points between two successive images. We calculate the 3D positions of the feature points on a detected object in the world coordinate system using triangulation. Then we estimate the parameters of the road plane using 3D positions of those feature points. Finally we calculate the distances from the 3D positions of the feature points to the road plane. Based on these distances, we can classify 2D objects and 3D objects. Experimental results show satisfactory performance of the proposed method.

Scopus

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Abnormal motion detection in an occlusive environment 査読有り

Mudjirahardjo P., Mudjirahardjo P., Tan J., Tan J., Kim H., Kim H., Ishikawa S., Ishikawa S.

Proceedings of the SICE Annual Conference 1398 - 1402 2013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 present a motion classification approach to detect movements of interest (abnormal motion) based on optical flow. By tracking all feature points of a moving human in successive frames, we calculate the coordinate space and create feature space. This is done directly from the intensity information without explicitly computing the underlying motions. It requires no foreground segmentation, no prior learning of activities, no motion recognition and no object detection. First, we determine the abnormal scene and speed by using the velocity histogram. Then by using k-means clustering over velocity orientation and magnitude, we determine the abnormal direction. The performance of the proposed method is experimentally shown.

Scopus

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A novel pedestrian detector on low-resolution images: Gradient LBP using patterns of oriented edges 査読有り

Boudisa, Tan, Kim, Shinomiya, Ishikawa

IEICE Transactions on Information and Systems E96-D ( 12 ) 2882 - 2887 2013年12月

A global-local approach to saliency detection 査読有り

Boudissa A., Tan J., Kim H., Ishikawa S., Shinomiya T., Mikolajczyk K.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8048 LNCS ( PART 2 ) 332 - 337 2013年09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 this paper, we present a novel approach to saliency detection. We define a visually salient region with the following two properties; global saliency i.e. the spatial redundancy, and local saliency i.e. the region complexity. The former is its probability of occurrence within the image, whereas the latter defines how much information is contained within the region, and it is quantified by the entropy. By combining the global spatial redundancy measure and local entropy, we can achieve a simple, yet robust saliency detector. We evaluate it quantitatively and compare to Itti et al. [6] as well as to the spectral residual approach [5] on publicly available data where it shows a significant improvement. © 2013 Springer-Verlag.

DOI： 10.1007/978-3-642-40246-3_41

Scopus

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頭部CTA・MRA画像からの血管領域の抽出 (画像工学)

前田真也, 山村雄太郎, 金亨燮, タンジュークイ, 石川聖二, 山本晃義

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 ( 一般社団法人電子情報通信学会 ) 113 ( 211 ) 81 - 84 2013年09月

担当区分：責任著者記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）

がんに対する治療法の一つとして放射線療法がある.放射線療法とは,腫瘍部に対して放射線を照射する治療法である.放射線治療では,正常組織の放射線被ばくを抑え,腫瘍部にのみ放射線を照射する必要がある.このような腫瘍位置の把握にはCT,MRなどの画像が用いられるが,各画像を重ね合わせて表示することにより,腫瘍位置を効果的に表示可能となる.画像間の重ね合わせについては,画像内の特徴点の情報を用いたものが代表的なものとしてあげられる.本稿では,放射線療法の対象のひとつである脳腫瘍の治療における,画像重ね合わせに用いる特徴点として,CTAおよびMRA画像から脳血管領域を抽出するための手法を提案する.頭部実CTA・MRA画像に対して提案手法を適用し,その有用性について検討した.

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/110009817858

頭部CTA・MRA画像からの血管領域の抽出 (ライフインテリジェンスとオフィス情報システム)

前田真也, 山村雄太郎, 金亨燮, タンジュークイ, 石川聖二, 山本晃義

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 ( 一般社団法人電子情報通信学会 ) 113 ( 210 ) 81 - 84 2013年09月

担当区分：責任著者記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/110009784523

頭部CTA・MRA画像からの血管領域の抽出 (マルチメディア情報ハイディング・エンリッチメント)

前田真也, 山村雄太郎, 金亨燮, タンジュークイ, 石川聖二, 山本晃義

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 ( 一般社団法人電子情報通信学会 ) 113 ( 212 ) 81 - 84 2013年09月

担当区分：責任著者記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/110009783192

Road region estimation and obstacles extraction using a monocular camera 査読有り

Qian S., Tan J., Kim H., Ishikawa S., Morie T., Shinomiya T.

International Journal of Innovative Computing, Information and Control 9 ( 9 ) 3561 - 3572 2013年07月

記述言語：英語掲載種別：研究論文（学術雑誌）

An obstacles detection method is proposed which employs a camera mounted on a vehicle. Although various methods of obstacles detection have already been reported, they normally detect only moving obstacles and not static obstacles, and a detected obstacle is represented by a rectangular frame that surrounds this obstacle, which does not provide shape of the obstacle. In this paper, a method is proposed for detecting obstacles on a road, irrespective of moving or static, by use of background modeling and road region detection. The output of the proposed method is the shape of obstacles. Background modeling is often used to detect moving objects when a camera is static. In this paper, we apply it to a moving camera case in order to obtain foreground images. Then we extract the road region using SVM. In this road region, we carry out region classification. We can delete all the objects which are not obstacles in the foreground images based on the result of the region classification. In the performed experiments, it is shown that the proposed method is able to extract the shape of both static and moving obstacles when a car is driving. © 2013 ISSN 1349-4198.

Scopus

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非剛体画像位置合わせ法による経時的差分像上の結節状候補陰影の検出と表示用ソフトウェアの開発 (パターン認識・メディア理解)

池田由利子, 時佐拓弥, 前田真也, 金亨燮, タンジュークイ, 石川聖二

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 ( 一般社団法人電子情報通信学会 ) 113 ( 75 ) 1 - 4 2013年06月

担当区分：責任著者記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）

近年,医療現場では医師の診断をサポートするコンピュータ支援診断(CAD)の開発が注目されている.その一つとして同一被験者の過去に撮影した画像と新しく撮影した画像間の差分演算を行い,それにより新しく発症した病変部や既存陰影を強調表示する経時的差分像を医師に提示することにより,画像診断の効率化を図る試みがなされている.本論文では、胸部CT画像を対象とした経時的差分像技術の非剛体レジストレーション手法により得られる経時的差分像における結節状候補陰影の検出を行うCADシステムを提案する.提案するCADシステムでは,ANN識別器による最終的な結節状陰影候補領域の検出を行い,3D表示するためのソフトウェアの開発を行った.

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/110009779161

濃度勾配情報を用いた胸部MDCT画像における経時的差分手法査読有り

前田真也, 三宅徳朗, 金亨燮, タンジュークイ, 石川聖二, 村上誠一, 青木隆敏

計測自動制御学会論文集 = Transactions of the Society of Instrument and Control Engineers ( 計測自動制御学会 ) 49 ( 4 ) 461 - 468 2013年04月

担当区分：責任著者記述言語：日本語掲載種別：研究論文（学術雑誌）

Recently, CAD system has been introduced as a visual screening method in medical field. Also, temporal subtraction method, which enhances temporal changes such as the abnormalities on the image, is implemented as one of technique for CAD by subtracting previous image from current one. Image registration techniques are required for the temporal subtraction method. If the accuracy of image registration is insufficiently, normal structure elements which should be removed are remained on subtraction image. In this study, a novel image registration method for temporal subtraction technique on thoracic MDCT images has been developed to reduce the subtraction artifacts by using intensity gradient information. The proposed method has been applied to thoracic MDCT images, and its efficiency has been indicated.

DOI： 10.9746/sicetr.49.461

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/10031166608

Detection of artery regions in lower extremity arteries from non-enhanced MR imaging based on particle filter algorithms 査読有り

Koga Y., Yamamoto A., Yamamoto A., Kim H., Tan J., Ishikawa S.

Journal of Advanced Computational Intelligence and Intelligent Informatics 17 ( 2 ) 318 - 323 2013年03月

記述言語：英語掲載種別：研究論文（学術雑誌）

Recently, the arteries sclerosis obliterans (ASO) or called peripheral arterial disease (PAD) typically caused by chronic ischemia of limbs increases remarkably. As one of the diagnosis methods, the image diagnosis methods such as MR image are applied in medical fields. In this paper, we propose a vascular extraction method using fresh blood imaging (FBI) method, as well as apply it to computer aided diagnosis (CAD) system. Especially, to prevent the spread outside of the region and improve the segment accuracy of peripheral artery areas, we introduce particle filter algorithms. We performed our method on automatic artery regions detection using non-enhanced MR images. Furthermore, we compared the extracted results to gold standard data and analyzed accuracy by receiver operating characteristic (ROC). The effectiveness of our proposed method and satisfactory of its detected accuracy were confirmed.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84879329594&origin=inward

血管構造情報を用いた三次元胸部CT画像における非剛体レジストレーション法査読有り

前田真也, 金亨燮, タンジュークイ, 石川聖二, 村上誠一, 青木隆敏

電子情報通信学会論文誌. D, 情報・システム = The IEICE transactions on information and systems (Japanese edition) ( 一般社団法人電子情報通信学会 ) 96 ( 3 ) 733 - 742 2013年03月

担当区分：責任著者記述言語：日本語掲載種別：研究論文（学術雑誌）

胸部CT画像を用いた肺結節の発生や経時変化の定期的な観察は,肺がんの早期発見及び良悪性判別において重要である.定期診断においては,現時点で撮影された画像(現在画像)と,過去の検診で撮影された画像(過去画像)の比較読影が行われている.このとき,現在画像と過去画像間のレジストレーションを行い,肺野内の構造の対応関係を求めることにより,経時的な変化部分を認識しやすくなる.しかし,肺野領域内には血管などの細かな組織が三次元的に分布しており,細部における高精度なレジストレーションが困難となる.そこで本論文では,血管構造情報を考慮した新たな非剛体レジストレーション手法を提案する.提案手法では血管構造情報として,血管構造らしさ,及び血管方向の情報を用い,画像間の血管構造情報の類似度を定義する.血管構造情報の類似度を用いた非剛体レジストレーションを行うことにより,位置あわせ精度の改善を試みた.提案手法を胸部実MDCT画像に適用し,正規化相互相関値(NCC)及びSum of Squared Difference(SSD)によるレジストレーション精度の評価を行った.その結果,従来手法ではNCCが0.712,SSDが185であったのに対し,提案手法では,NCCが0.800,SSDが153となり精度の改善が確認された.

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/110009593041

Recognizing human actions using histogram of local binary patterns 査読有り

Ahsan S., Tan J., Kim H., Ishikawa S.

2013 IEEE/SICE International Symposium on System Integration, SII 2013 54 - 59 2013年01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）

Human action recognition from video clips has become an active research field in recent years. Each action has its unique shape and a motion sequence can be suitably represented by a histogram. In this paper a histogram based action recognition method is presented. Motion history images are a good spatiotemporal template for action representation. In the present method, we use local binary patterns of directional motion history images for the histogram representation. We measured the performance of the proposed method along with some variants of it by employing KTH action dataset and found higher accuracy. The presented results also justify the superiority of the proposed method compared to other approaches for action recognition found in literature. © 2013 IEEE.

Scopus

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Automatic classification of seabed sediments based on HLAC 査読有り

Tan Y., Tan J., Kim H., Ishikawa S.

2013 IEEE/SICE International Symposium on System Integration, SII 2013 653 - 658 2013年01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）

Understanding the distribution of seafloor sediment using a side-scan sonar is very important to grasp the distribution of seabed resources. This task is traditionally carried out by a skilled human operator. However, with the appearance of Autonomous Underwater Vehicles, automated processing is now needed to tackle the large amount of data produced and to enable on the fly adaptation of the missions and near real time update of the operator. We propose in this paper a method that applies a subspace method and higher-order local auto-correlation feature to the acoustic image provided by the side-scan sonar to classify seabed sediment automatically. In texture classification, the proposed method outperformed other methods such as gray level co-occurrence matrix and Local Binary Pattern operator. Experimental results show that the proposed method produces a consistent map of a seafloor. © 2013 IEEE.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84902467004&origin=inward

A parameterization based correspondence method for PDM building 査読有り

Li G., Kim H., Tan J., Ishikawa S.

Journal of Advanced Computational Intelligence and Intelligent Informatics 17 ( 1 ) 18 - 26 2013年01月

記述言語：英語掲載種別：研究論文（学術雑誌）

Place-march of corresponding landmarks is one of the major factors influencing 3D Points Distribution Model (PDM) quality. In this study, we propose a semi-automatic correspondence method based on surface parameterization theory. All the training sets are mapped into a spherical domain previously. The rotation transformation of training samples is regarded as spherical rotation of their maps. We solve it by comparing the density distribution of surface map of training sample with respect to the reference model. Simultaneously, the corresponding landmarks across the whole training set are marketed depending on the spherical coordinates on parameter domain. In this paper, we also compared the corresponding results with two constraint conditions of spherical conformal mapping: 3 datum points constrain and zero-mass constrain. Experimental results are given for left lung training sets of 3D shapes. The mean result with the 3 datum points constraint and the zero mass-center constraint was 21.65 mm and 20.19 mm respectively.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84879455289&origin=inward

ブースティングによる機械学習に基づく海底物体の検出査読有り

丹康弘, タンジュークイ, 金亨燮, 石川聖二

日本船舶海洋工学会論文集 ( 社団法人日本船舶海洋工学会 ) 18 ( 0 ) 115 - 121 2013年01月

記述言語：日本語掲載種別：研究論文（学術雑誌）

Side-scan and forward looking sonars are some of the most widely used imaging systems for obtaining large scale images of a seafloor, and their use continues to expand rapidly with their increasing deployment on Autonomous Underwater Vehicles. However,it is difficult to extract quantitative information from the images generated from these processes, in particular, for the detection and extraction of information on the objects within these images. We propose in this paper an algorithm for automatic detection of underwater objects in side-scan images based on machine learning employing adaptive boosting. Experimental results show that the method produces consistent maps of a seafloor.

DOI： 10.2534/jjasnaoe.18.115

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130003393937

C-1-1 パーティクルフィルタを用いたFBI画像からの下肢血管領域の自動抽出(治療支援(1))

金亨燮, 古賀結子, タンジュークイ, 石川聖二, 山本晃義

バイオメディカル・ファジィ・システム学会大会講演論文集 ( バイオメディカル・ファジィ・システム学会 ) 26 ( 0 ) 29 - 32 2013年01月

担当区分：筆頭著者記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）

Recently, the Arterio sclerosis obliterans (ASO) caused by chronic ischemia of limbs increases. As one of the diagnosis methods to detect the ASO, MR image which is obtained fresh blood imaging (FBI) is used for visual screening in medical fields. In this paper, we propose a method to detect blood vessel regions in legs from the FBI images. Especially, we developed for preventing the spread outside of the region and the segment accuracy in peripheral artery areas that is improved by using particle filter algorithms. We performed our proposed method on to real MR images which is obtained by FBI method and satisfactory detection results of artery regions are achieved.

DOI： 10.24466/pacbfsa.26.0_29

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/110009830344

Temporal subtraction method for abdominal contrast and non-contrast image based on image matching techniques 査読有り

Minashima M., Ogihara S., Kim H., Tan J., Ishikawa S., Murakami S., Murakami S., Aoki T.

International Conference on Control, Automation and Systems 1805 - 1808 2012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）

Recently, the death rate due to the liver cancer rises remarkably. To reduce the rate, the early detection of the disease is important. To detect diseases in early stage which are concern cancer, image diagnosis such as CT image is used in medical fields. On the other hand, the burden to a radiologist becomes increase. Therefore, the development of a system reducing the burden of the radiologist is important. In order to diagnose abnormalities based on medical imaging there are some reports. But, there is no report which is concern with detecting abnormality on liver disease based on temporal subtraction technique for abdominal CT image. As one of the methods to analyze abnormalities on visual screening, temporal subtraction technique is useful. This technique subtracts past image to current one. To obtain the good performance based temporal subtraction technique, image registration is most important task. In this paper, we propose a registration method for liver CT image using voxel matching techniques. We describe our registration method from two CT image which obtained deference time series and shows experimental results with discussion. © 2012 ICROS.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84872554258&origin=inward

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