研究者詳細 - 神谷　亨

論文 - 神谷　亨

分割表示751 件中 481 - 500 件目／全件表示 >>

Detecting human flows on a road different from main flows 査読有り

Park M., Tan J., Nakashima Y., Kim H., Ishikawa S.

Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11 793 - 796 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）

Automatic detection of human flows on a road by a computer vision system is of great importance mainly in surveillance systems, where human flows are observed by a camera and a computer analyzes the videos that the camera provides to detect a person having a different flow of movement, such as a person walking toward a certain direction while most of the people walk in the opposite direction, or a person running in a group of walking people. This paper describes a technique for finding a person having a different behavior or motion from others. The idea of the paper is to classify motion flows (or optical flows) extracted from a video into respective groups having respective directions of the motion by analyzing the motion flows. Experimental results show effectiveness of the proposed technique. © 2011 ISAROB.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866643383&origin=inward

Automatic segmentation of liver region from non-contrast and contrast CT images employing tree-structural image transformations 査読有り

Komatsu M., Li G., Kim H., Tan J., Ishikawa S., Yamamoto A., Yamamoto A.

Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11 763 - 766 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）

In the medical image processing field, segmentation from the CT image is one of the most important problems for analyzing the abnormalities and diagnosis on visual screening. Many related segmentation techniques have been developed for automatic extraction of ROI. It is however, there are still no fully automatic segmentation methods that are generally applicable to ROI based on CT image set. In this paper, we present a technique for automatic extraction of liver region on the MDCT images employing automatic construction of tree-structural image transformation (ACTIT). We propose a new technique for extraction of organs employing ACTIT with non-contrast and contrast image set in order to introduce temporal change information. We apply the proposed technique to three abdominal image set and satisfactory segmentation results are achieved. © 2011 ISAROB.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866687359&origin=inward

A 3D Matching Method for Organic Training Samples Alignment Based on Surface Curvature Distribution 査読有り

Li, Kim, Tan, Ishikawa, Yamamoto

Open Journal of Medical Imaging 1 ( 2 ) 43 - 47 2011年12月

Multiple objects tracking method based on particle filter 査読有り

Sugandi, Kim, Tan, Ishikawa

Recent Research in Circuits, Systems, Mechanics and Transportation Systems 64 - 69 2011年12月

3-D modeling of dynamic remote environments employing the images from cell-phone cameras and a communication network 査読有り

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

Proceedings of the SICE Annual Conference 48 - 51 2011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 describes a system for 3-D modeling of dynamic remote environments employing the images provided from cell-phone cameras and a communication network. In the system, we employ two cell-phones to acquire images. Each image is sent to a lab by an e-mail and employed for the 3-D modeling. For the algorithm of 3-D recovery, we employ a mobile stereo vision method, since this method is based on the factorization method and a steady solution can be expected. In the experiment, we tested the influence of the restoration error by using two cell-phones and obtained an excellent result. © 2011 SICE.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=81255179892&origin=inward

Multiple persons' action recognition by fast human detection 査読有り

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

Proceedings of the SICE Annual Conference 1639 - 1644 2011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）

Recognition of the actions of several persons in a scene is gaining importance for human action analysis. Such a kind of system capable of recognizing human actions in a scene is proposed in this paper. We have adopted a fast human detector using Histograms of Oriented Gradients (HOG) and Support Vector Machine (SVM) to robustly trace individual persons. Person-wise bounding blobs are extracted and individual features are tracked in subsequent frames. The recognition is performed individually by comparing with the known motion templates using a high-speed action database. The technique guarantees improved performance in terms of detection and recognition. © 2011 SICE.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=81255147356&origin=inward

Improved approach for action recognition based on local and global features 査読有り

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

Proceedings of the SICE Annual Conference 1645 - 1649 2011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 presents an improved spatio-temporal (XYT) approach for local interest point-based global action representation, considering the history of moving points in an action. The presented spatio-temporal representation demonstrate robust results and we compare the developed method with previous other method. This is a SURF-based method where we extract visual features to select candidate points based on the SURF detector. Afterwards, motion features are extracted by exploiting the local interest points and by employing optical flow. RANSAC is employed to reduce the unwanted outliers and improve the performance of the method. Based on an outdoor action dataset, we have found that the developed method demonstrate satisfactory recognition results. © 2011 SICE.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=81255210497&origin=inward

Buildings recovery employing Manhattan-world constraint 査読有り

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

Proceedings of the SICE Annual Conference 431 - 434 2011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）

The structure from Motion (SfM) algorithm is an established method of shape recovery from a single video sequence. However, limitation of the method is the accuracy of the recovery due to poor texture of a recovered plane or a large scale object. We propose a technique for improving the precision of the recovery by applying the Manhattan-world constraint to the SfM algorithm, which assumes that the buildings are composed of vertical and horizontal planes. We show its effectiveness by the experiments performed in a real-life environment. © 2011 SICE.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=81255178501&origin=inward

Action dataset - A survey 査読有り

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

Proceedings of the SICE Annual Conference 1650 - 1655 2011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）

Human action understanding and recognition have various demands for different applications in the field of computer vision and human-machine interaction. Due to these issues, more than a decade, extensive researches are going on in this arena - to recognize various actions and activities. Researchers have been exploiting various action datasets and some of them become prominent. Though there are some good datasets, unfortunately, to have a strong survey on these datasets has been a long due. This paper attempts this and presents the key datasets and analyzes them in different perspectives. © 2011 SICE.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=81255147357&origin=inward

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

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

Proceedings of the SICE Annual Conference 447 - 450 2011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 3-D recovery of a non-rigid object, such as a moving person, from a single camera view. Recovery of a non-rigid object is not possible from a single camera view without any condition. In this paper, we propose a single camera technique for recovering a non-rigid object under the condition that the object is composed of a set of rigid objects. The experiments employing real motion data show effectiveness of the proposed technique. © 2011 SICE.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=81255128065&origin=inward

階層的画像位置合わせによる胸部マルチスライスCT画像の経時的差分処理の高速化査読有り

前田、金、タン、石川、山本

バイオメディカル・ファジィ・システム学会誌 13 ( 2 ) 1 - 7 2011年10月

A non-rigid alignment method for triangular mesh surface of lung field 査読有り

Li, Kim, Tan. Ishikawa, Yamamoto

International Workshop on Smart Info-Media Systems in Asia 150 - 153 2011年10月

A shape-based segmentation method of multi-organs on CT images using genetic algorithm 査読有り

Li G., Takahashi H., Kim H., Tan J., Ishikawa S., Yamamoto A., Yamamoto A.

ICIC Express Letters 5 ( 9 A ) 3189 - 3194 2011年09月

記述言語：英語掲載種別：研究論文（学術雑誌）

Due to utilizing the priori information of shape, the Active Shape Model (ASM) approach is considered as a robust and effective tool for region of interest (ROI) searching in medical image segmentation. However, in the practice, since the pose parameters and the shape parameters have strong coupling, the analytic method is difficult to perform. In this paper, we propose a parameter optimization method by genetic algorithm (GA) and apply it to the segmentation of lung field and cardiac field on CT images. Region texture derived from training set is proposed as the fitness function in genetic algorithm. Segmentation experiments were performed on lung and cardiac field segmentation on CT images. The lung field segmentation results perform well with average error of 91.0%. At last, we argue the limitation of linear Principal Component Analysis (PCA) to represent shape variations through cardiac field segmentation results. © ICIC International 2011.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80052456864&origin=inward

Automatic Detection of Phalangeal Region on CR Images Using Active Contour Model 査読有り

Yamakawa, Murakami, Kim, Tan, Ishikawa, Aoki

International Symposim on Advanced Intelligent Systems 362 - 365 2011年09月

Detection of Calcification on Carotid Artery in Dental CT Image 査読有り

Shimizu, Kim, Tan, Ishikawa, Tanaka, Kitou, Morimoto

International Symposim on Advanced Intelligent Systems 358 - 361 2011年09月

Segmentation Method for Mandibular Region in Dental CT Images Using MPR Image Information 査読有り

Kuroki, Kim, Tan, Ishikawa, Tanaka, Kitou, Morimoto

International Symposim on Advanced Intelligent Systems 63 - 66 2011年09月

Detection of Artery Regions on Fresh Blood Imaging Using Particle Filter Algorithms 査読有り

Koga, Yamamoto, Kim, Tan, Ishikawa

International Symposim on Advanced Intelligent Systems 59 - 62 2011年09月

A Method for Image Registration on Head CT and MR Image by Using Real-coded Genetic Algorithm 査読有り

Hayata, Yamamura, Kim, Tan, Ishikawa, Yamamoto

International Symposim on Advanced Intelligent Systems 55 - 58 2011年09月

Automatic Detection Method for Candidate Regions of Lung Nodule from the Temporal Subtraction Images 査読有り

Tokisa, Miyake, Maeda, Kim, Tan, Ishikawa, Murakami, Aoki

International Symposim on Advanced Intelligent Systems 51 - 54 2011年09月

Automatic Segmentation Method of Internal Organ Regions Using Graph Cuts 査読有り

Tani, Li, Kim, Tan, Ishikawa, Yamamoto

International Symposim on Advanced Intelligent Systems 47 - 50 2011年09月

　前のページ - 次のページ　

<神谷 亨>

論文 - 神谷 亨

<神谷　亨>

論文 - 神谷　亨