研究者詳細 - 神谷　亨

論文 - 神谷　亨

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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.

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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.

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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.

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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

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

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

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

3-D recovery of a non-rigid object from a single camera view by piecewise recovery and synthesis 査読有り

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

Proceedings - International Conference on Pattern Recognition 1443 - 1446 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）

This paper proposes a novel technique for 3-D recovery of a non-rigid object, such as a human in motion, from a single camera view. To achieve the 3-D recovery, the proposed technique performs segmentation of an object under deformation into respective parts which are regarded as rigid. For high accuracy segmentation, multi-stage learning and local subspace affinity are employed in this stage. Each part recovers its 3-D shape by applying the factorization method to it. This is the initial solution. The shape of each part is then refined by applying a quadratic model to the initial solution. The entire 3-D recovery of the object is finally performed using the common points among the segmented parts. The experiments employing a synthetic non-rigid object and real human motion data show effectiveness of the proposed technique. © 2012 ICPR Org Committee.

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Detection of bone regions on legs from CTA image using concentration gradients 査読有り

Wada K., Yamamoto A., Kim H., Tan J., Ishikawa S.

International Conference on Control, Automation and Systems 1818 - 1821 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, radiologists can easily screening with high accuracy based on CTA (Computed Tomography Angiography) images and/or MRI (Magnetic Resonance Imaging) which is supported by medical imaging technology. On the other hand, visual screening makes burden to doctors which cause increasing the images and limited times. To avoid these problems, CAD (Computer Aided Diagnosis or Detection) system is developed by reducing the burdens and to improve the diagnostic accuracy. Problems of diagnosis on legs from CTA are burdens to doctors and detection of blood vessel by manual. In the field for visual screening, it is difficult task to detect blood vessel regions with high accuracy detection rates since blood vessel regions are in contact with bone region on the CTA images. In this paper, we propose a new method for segmentation of arterial area, which are obtained CTA based on image processing by concentration gradients, and satisfactory experimental results are obtained. Some experimental results are shown with discussion. © 2012 ICROS.

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Classification of lung nodules on temporal subtraction image based on statistical features and improvement of segmentation accuracy 査読有り

Miyajima T., Tokisa T., Maeda S., Kim H., Tan J., Ishikawa S., Murakami S., Murakami S., Aoki T.

International Conference on Control, Automation and Systems 1814 - 1817 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, thorax MDCT images are used in visual screening for early detection of lung nodules. Radiologists can easily detect lung nodules on images, but it has enormous images and load of radiologist for visual screening. To reduce the load of radiologist and improve the detection accuracy, a CAD (Computer Aided Diagnosis) system is expected from medical fields. In the medical image processing fields, some related works are reported to develop the CAD system including temporal subtraction technique as helpful technical issues. In this paper, we propose a classification of lung nodules on temporal subtraction image based on image processing technique. At first, the candidate regions including nodules are detected by the multiple threshold technique in terms of the pixel value on the temporal subtraction images. Then, we remove vessel regions on nodules by the most suitable threshold technique and watershed method. Also we remove the false positives which are caused by mis-registration using selective enhancement filter, rule-base method and artificial neural networks. In this paper, we illustrate some experimental result which applied our algorithm to 31 chest MDCT cases including lung nodules. © 2012 ICROS.

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Applying MSC-HOG feature to the detection of a human on a bicycle 査読有り

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

International Conference on Control, Automation and Systems 514 - 517 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）

Traffic accidents are decreasing under the influence of technology advancement. But the problems still remain that accidents occur due to carelessness of drivers. Therefore many researchers have been still studying to realize an advanced safety system. The Histograms of Oriented Gradients (HOG) feature is well known as a useful method of detecting a standing human in various kinds of the background. Unlike a human, a bicycle changes its appearance variously according to viewpoints. Hence, it is more difficult than detecting a human. In this paper, we propose a method of detecting a human on a bicycle using the Multiple-size Cell HOG (MSC-HOG) feature and the RealAdaboost algorithm. Experimental results and evaluation show satisfactory performance of the proposed method. © 2012 ICROS.

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A temporal subtraction method for thoracic CT images using non rigid warping technique 査読有り

Tokisa T., Kim H., Tan J., Ishikawa S., Moon Y., Yoon S., Kim W.

International Conference on Control, Automation and Systems 1809 - 1813 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）

A temporal subtraction technique which is subtracted from previous image to current one is introduced as powerful tools in medical fields to diagnose abnormalities. It provided a computer aided diagnosis (CAD) tools on visual screening. Radiologist can detect lesions on image by compare the two images. It is because the subtraction image can enhance the temporal changes, such as shaped of new lesions and/or the temporal changes in existing abnormalities by removing most of the normal background structures by subtraction of a previous image from a current one. There are some technical reports to register the different images until now. But subtraction artifacts are still remained which are caused by mis-registration. In this paper, we propose a new method for temporal subtraction method on thoracic MDCT images using non-rigid image warping techniques based on free form deformation (FFD). We applied our method to two clinical cases of chest CT image sets and compare to conventional methods in terms of computational cost and accuracy. © 2012 ICROS.

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A camera-computer system to support safe walking of a blind person 査読有り

Kanayama A., Tan J., Kim H., Ishikawa S.

International Conference on Control, Automation and Systems 511 - 513 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）

It is necessary for a blind person to know the locations of the pedestrians or moving objects around him/her on a walk road for his/her safe walking. This paper proposes a system for detecting pedestrians or moving objects in front of a person on a walk road by a camera mounted on his/her body. The system judges if a moving object in front of the person is going to hit him/her in the near future by analyzing the motion vectors acquired on the camera images. In case there is a fear of hit, the system tells it to the person by sound. In this way, the proposed system helps safe walking of a blind person. Some experimental results are shown with discussion. © 2012 ICROS.

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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.

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A method for cardiac region segmentation on ultrasound images based on particle filter algorithm 査読有り

Kim H., Sugandi B., Tan J., Ishikawa S.

Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS MCCSIS 2012 157 - 162 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）

This paper presents a contour segmentation of cardiac region on ultrasound images viewed as a tracking framework. We develop a tracking model for contour segmentation and estimate the image contour using particle filter algorithm. The tracking model is initialized by projecting equip spaced radii from center point of the contour to the tracking boundary. The motion of each particle on the radii is governed by a system model. The samples likelihood is measured based on the gradient intensity or edge of the contour. Then the estimated contour is measured based on the mean estimate of the samples likelihood. Our proposed method is implemented to the ultrasound images of a cardiac and the satisfactory results are achieved. © 2012 IADIS.

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Human motion recognition employing infrared radiation camera images 査読有り

Hiroshima T., Tan J., Kim H., Ishikawa S.

Proceedings of the SICE Annual Conference 392 - 395 2012年11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 of motion recognition in real night environment employing an infrared radiation camera. We record a video employing an infrared radiation camera to perform motion recognition at night. We use Directional Motion History Images (DMHIs) and Directional Motion Energy Images (DMEIs) for human motion representation. For the recognition of the motions, we employ the eigenspace method. In the experiment, it was confirmed that the human motion recognition at night is possible. © 2012 SICE.

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Japanese finger-spelling recognition using a chest-mounted camera 査読有り

Nagasue A., Tan J., Kim H., Ishikawa S.

Proceedings of the SICE Annual Conference 909 - 912 2012年11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 for recognizing Japanese finger-spelling using a sign language user's chest-mounted camera. Unlike existent systems, the technique employs a chest-mounted camera attached to a sign language user himself/herself and recognizes his/her sign language through the captured images of Japanese finger-spelling. We use a hand area picture of his/her hand and the MHIs (Motion History Images) for the Japanese finger-spelling recognition. For the recognition method, we employ the ICA (Independent Component Analysis). Furthermore, in order to recognize the Japanese finger-spelling from an animation (an image sequence), a character segmentation technique is also proposed. The performance of the proposed system is shown experimentally. © 2012 SICE.

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Arterial hemodynamic analysis on non-enhanced magnetic resonance angiogram using optical flow 査読有り

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

Artificial Life and Robotics 17 ( 1 ) 102 - 106 2012年10月

記述言語：英語掲載種別：研究論文（学術雑誌）

© ISAROB 2012. Peripheral arterial disease (PAD) is one of the reasons caused to the lower extremity atherosclerotic disease. Its diagnosis is needed to obtain much kind of the information of vascular morphology as well as the blood flow information based on hemodynamics. The diagnosis of the PAD using magnetic resonance imaging (MRI) equipment without contrast medium is available as a useful visual screening in clinical practice. In this paper, we propose a novel method for visualizing hemodynamics to arterial images obtained by a non-contrast enhanced magnetic resonance angiography (MRA) based on the Lucas–Kanade optical flow with the image pyramid processing, and satisfied experimental results are obtained.

DOI： 10.1007/s10015-012-0022-8

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863670045&origin=inward

Motion history image: its variants and applications 査読有り

Ahad, Tan, Kim, Ishikawa

Machine Vision and Applications 23 255 - 281 2012年03月

経時的差分像技術を用いた胸部CT画像からの結節状候補陰影領域の自動抽出

時佐、三宅、前田、金、タン、石川、村上、青木

第4回呼吸機能イメージング研究会学術集会 77 2012年02月

An effective directional motion database organization for human motion recognition 査読有り

Eftakhar, Tan, Kim, Ishikawa

Intl. Journal of Innovative Computing, Information and Control 8 ( 2 ) 1359 - 1370 2012年02月

An effective directional motion database organization for human motion recognition 査読有り

Ashik Eftakhar S., Tan J., Kim H., Ishikawa S.

International Journal of Innovative Computing, Information and Control 8 ( 2 ) 1359 - 1370 2012年02月

記述言語：英語掲載種別：研究論文（学術雑誌）

Automatic recognition of human motions has an increasing demand in the recent visionary world. However, with the registration of large number of motions from varying viewpoints, the necessity for an effective motion database for recognition has become a vital issue. In the context of motion database development, this paper proposes a directional database organization for human motion recognition. This organization partitions the motion database into several sub-databases on the basis of camera orientation. Separate feature spaces are constructed, and correspondingly directional sub-databases are built, leading to the constitution of the complete motion database. The directionally similar but semantically different motions are properly distinguished. To show the ro-bustness of the proposed organization for recognizing human motions, a set of motions captured from varying viewpoints is analyzed. An eigenspace representation is employed as a generic feature space that sufficiently characterizes the motion features. Motion History Image (MHI) and Exclusive-OR (XOR) image representations are used as motion templates where MHI is found performing better than XOR image. The experimental re-sults show high-level of satisfactory performance and claim the significant improvement over earlier developed systems. © 2012 ICIC International.

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