研究者詳細 - 神谷　亨

論文 - 神谷　亨

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Lower-dimensional feature sets for template-based motion recognition approaches 査読有り

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

Journal of Computer Science 6 ( 8 ) 920 - 927 2010年11月

記述言語：英語掲載種別：研究論文（学術雑誌）

Problem statement: In template-based motion recognition approaches, feature sets are computed from the template for classification. Hu invariants are widely employed for this purpose since its inception. However, development of lower-dimensional feature vector sets is required for faster computation along with robust recognition. The concept of reduced size of Hu moment is really interesting. From its inception, seven higher orders Hu moments have been employed by many researchers without considering why seven and why not less numbers. Approach: In this study, we analyzed with various feature sets with different number of Hu moments and rationalized that based on the characteristics of central moments, it is not necessary to employ all the seven moments in every applications and, in that way, we can reduce the computational cost and make it faster. Results: Based on various feature vectors sets, it is evident that we can use lower dimensional feature vectors for our Directional Motion History Image (DMHI) method and other methods. Conclusion: Therefore, we can conclude that we do not need all seven invariants, rather 1st two or three invariants seem enough-as we are not reproducing the image. Higher invariants are noisy and hence can be ignored. The 0th order moment for Energy images provide enough information about the mass area and hence, no need to calculate the other seven invariants. © 2010 Science Publications.

DOI： 10.3844/jcssp.2010.920.927

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78049482012&origin=inward

Method for Reduction of Metal Artifacts in Dental CT Images by Use of Frequency Analysis 査読有り

Mito,Kim,Tan,Ishikawa,Tanaka,Morimoto

International Conference on Control, Automation and Systems 1271 - 1274 2010年10月

Medeling of Human Postures Using Stereo Camera 査読有り

Yoshida,Tan,Kim,Ishikawa

International Conference on Control, Automation and Systems 1432 - 1435 2010年10月

Segmentation Method for Phalanges in CR Image by Use of DCT 査読有り

Hozu,Murakami,Kim,Tan,Ishikawa,Aoki

International Conference on Control, Automation and Systems 2082 - 2085 2010年10月

Detection of Blood Vessel Regions Using Weighted MIP from Non-enhanced MR Imaging 査読有り

Koga,Yamamoto,Kim,Tan,Ishikawa

International Conference on Control, Automation and System 2078 - 2081 2010年10月

Segmentation Method for Cardiac Region in CT Images Based on Active Shape Model 査読有り

Takahashi,Komatsu,Kim,Tan,Ishikawa,Yamamoto

International Conference on Control, Automation and Systems 2074 - 2077 2010年10月

Human Motion Recognition Using Directional Motion History Image 査読有り

Murakami,Tan,Kim,Ishikawa

International Conference on Control, Automation and Systems 1445 - 1449 2010年10月

濃度・形状特徴量を用いたスリガラス状陰影の自動識別法

塩澤，金，タン，石川

バイオメディカル・ファジィ・システム学会第23回年次大会講演論文集 59 - 62 2010年10月

異なる時期に得られる胸部MDCT画像の経時的差分像技術の開発

三宅、金、前田、タン、石川、村上、青木、山本

バイオメディカル・ファジィ・システム学会第23回年次大会講演論文集 55 - 58 2010年10月

Snakes法によるCR画像からの指骨領域の自動抽出

山川，村上，金，タン，石川，青木

バイオメディカル・ファジィ・システム学会第23回年次大会講演論文集 125 - 128 2010年10月

VTKを用いたDICOM表示用GUIの開発

竹内，金，タン，石川，山本

バイオメディカル・ファジィ・システム学会第23回年次大会講演論文集 75 - 76 2010年10月

Occlusion handling in object tracking based on particle filter approach 査読有り

Sugandi,Kim,Tan,Ishikawa

7th Intl. Conference & Expo on Emerging Technologies for a Smarter World 2010年09月

Action recognition by employing combined directional motion history and energy images 査読有り

Rahman Ahad M., Tan J., Kim H., Ishikawa S.

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010 73 - 78 2010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）

Human action understanding and analysis for various applications are still in infancy due to various factors. In this paper, for recognizing various complex activities, a combined cue for motion representation and later recognition is demonstrated based on the optical flowbased four directional motion history and basic energy images. Optical flow between consecutive frames are computed to create the update function and to segment the moving regions. These motion vectors are split into four different channels. From these channels, the corresponding four directional history templates are computed. These along with frame-subtracted energy motion templates represent the final motion information of an action sequence. From these templates, feature vectors are calculated according to the seven Hu invariants. We develop a 35-dimensional feature vector for each action. For classification, k-nearest neighbor classification scheme is employed. For partitioning scheme, we employ leave-one-out cross-validation method. Both indoor and outdoor dataset provide satisfactory recognition results. These analysis, representation can be used for robot vision, interactive systems, computer games, behavior understanding, etc. © 2010 IEEE.

DOI： 10.1109/CVPRW.2010.5543160

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77956548614&origin=inward

Segmentation of artery areas on non-enhanced fresh blood imaging based on a dot enhancement filter and the 3-D region-growing method 査読有り

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

Artificial Life and Robotics 15 ( 1 ) 48 - 52 2010年09月

記述言語：英語掲載種別：研究論文（学術雑誌）

Peripheral arterial disease (PAD) is characterized by arterial obstruction in the lower extremities due to atherosclerosis, and manifests itself as intermittent claudicating, limb ischemia, or gangrene. Diagnosis of PAD using magnetic resonance imaging (MRI) equipment without contrast medium is available as a useful visual screening in clinical practice. In this article, we propose a new method for the segmentation of arterial images which are obtained from non-contrast-enhanced magnetic resonance angiography (MRA) based on a dot enhancement filter and 3-D region-growing methods, and satisfactory experimental results are obtained. © 2010 International Symposium on Artificial Life and Robotics (ISAROB).

DOI： 10.1007/s10015-010-0764-0

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77956106053&origin=inward

胸部MDCT画像の経時差分法の開発と病変部候補領域の抽出

金　亨燮

立石科学技術振興財団助成研究成果集 ( 19 ) 29 - 32 2010年09月

Detection of Candidate Regions for Lung Nodules on Temporal Subtraction Image Based on Artificial Neural Networks 査読有り

Maeda,Kim,Tomiyama,Tan,Ishikawa,Yamamoto

Intl. Conf. Biological and Biomedical Engineering 1037 - 1040 2010年08月