研究者詳細 - 丹上　結乃純

論文 - 丹上　結乃純

分割表示601 件中 361 - 380 件目／全件表示 >>

Separating Pedestrian at a traffic junction from the background detected from a car video 査読有り

Tan Joo Kooi,Miyoshi Makoto,Ishikawa Seiji,Morie Takashi

Proc. of the International Workshop on Advanced Image Technology 2010 CD-R 2010年01月

Creating an entire object model employing virtual see-through cameras 査読有り

Sone T., Piao M., Tan J., Kim H., Ishikawa S.

Proceedings of the SICE Annual Conference 2504 - 2506 2010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）

This paper proposes a novel 3-D modeling technique of an object. The existent 3-D modeling techniques such as stereo vision or factorization recovers 3-D shapes of part of an object observed commonly from multiple orientations. This is followed by registration among recovered partial shapes in order to obtain an entire 3-D model of the object, resulting in some geometrical errors in the linked shape. The proposed technique creates entire shape of an object simultaneously without partial shape registration by the employment of virtual see-through cameras that surround the object and observes its rear part as well as the frontal part. All the surrounding cameras are calibrated initially using the captured images. The frontal side of an object concerned recovers its 3-D shape by the factorization method applied to the image data obtained from the frontal cameras. The recovered frontal shape is virtually projected onto the image planes of the rear cameras. This procedure realizes that all the surrounding cameras observe all the shape of the object, irrespective of frontal or rear. Then the factorization method is applied again to this situation to yield an entire 3-D model of the object. A nonlinear optimization method is employed in the technique to achieve the modeling of higher precision. The proposed technique is applied to the 3-D modeling of a mini basket ball match and their activity is successfully modeled in a 3-D way. © 2010 SICE.

Scopus

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Viewpoint-oriented human activity recognition in a cluttered outdoor environment 査読有り

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

Proceedings of the SICE Annual Conference 1506 - 1511 2010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）

Motion analysis in a cluttered outdoor scenario is a real challenging task. In this paper, a suitable human activity recognition approach is proposed that adapts with the noisy environment and with variable viewpoints. The recognition approach encompasses some motion processing methodologies having high precision for specific analysis, among those are: motion segmentation, optical flow computation, Motion History Image (MHI) generation, structured database development, and so on. Estimating the subject's moving body region, 4-directional MHIs of each activity are generated. An efficient pre-developed motion database aids in recognition of the activities. The proposed approach proves its significant precision in recognition for various activities from varying viewpoints. © 2010 SICE.

Scopus

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Three-dimensional modeling of a non-rigid object employing a single camera 査読有り

Horinouchi T., Jung H., Tan J., Kim H., Ishikawa S.

Proceedings of the SICE Annual Conference 2972 - 2975 2010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）

This paper proposes a technique for recovering 3-D shape of a non-rigid object employing a single camera. Normally two or more cameras are necessary for recovering 3-D shape of a non-rigid object. Shape recovery of a non-rigid object employing a single camera has recently been studied by a few researchers, but they deal only with small deformation. The technique proposed in this paper achieves the shape recovery of larger deformation by regarding a non-rigid object as a set of rigid parts. Each rigid part recovers its 3-D shape by the application of the factorization method and they are connected mutually to represent an overall deformation of the object. The present technique also considers the shape recovery of an occluded part caused by ego motion. Effectiveness of the proposed technique is shown by experiment. © 2010 SICE.

Scopus

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On detecting a human body direction using an image information 査読有り

Nakashima Y., Tan J., Ishikawa S., Morie T.

Proceedings of the SICE Annual Conference 1521 - 1522 2010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）

This paper describes a novel technique for detecting a human body direction using HOG feature. The HOG feature is a well-known feature for the judgment of a human. But normally it contains the background feature, which gives negative influence on the judgment. This paper proposes the employment of the HOG feature based on selecting feature methods. We employ the feature for detecting a human body direction. Experimental results show effectiveness of the proposed technique compared to the conventional one. © 2010 SICE.

Scopus

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Human motion recognition using directional motion history images 査読有り

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

Proceedings of the SICE Annual Conference 1512 - 1514 2010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）

Nowadays many persons are needed to observe images from surveillance cameras, because many surveillance cameras are installed in a town or in buildings. They are working under stress, because they must always watch the images from surveillance cameras to find a person with abnormal motion. Therefore reduction of the load is necessary. Many existing researches on human motion recognition are only recognition and the information of the result is not used. We assume that human motion is a set of basic motions. So, we think we are able to translate an overall motion using the recognition result of basic motions. The goal of the present research is to develop a method of human motion representation and translation using directional motion history images (DMHIs). In this paper, we describe a method of recognizing basic motions using the DMHIs. We perform the recognition by matching of a graph. When the matching of the graph is performed, the intervals of chosen image frames are changed and the most suitable interval is inspected. © 2010 SICE.

Scopus

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Automatic detection of GGO candidate regions by using density and shape features 査読有り

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

International Journal of Innovative Computing, Information and Control 6 ( 1 ) 255 - 262 2010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）

Various imaging equipments have been introduced into medical fields. Es-pecially, high resolution helical computed tomography (HRCT) is one of the most useful diagnosis systems because it provides a high resolution image to medical doctors as a clear image. Radiologist can easily detect abnormalities by use of the clear images. Detection of abnormal areas such as lung nodule, ground glass opacity on multi detector computed tomography images is a difficult task for radiologists. It is because subtle lesions such as small lung nodules tend to be low in contras, and a large number of computed tomogra-phy images require a long visual screening times. To detect the abnormalities by use of computer aided diagnosis (CAD) system, some technical methods for detecting the ab-normalities have been proposed in medical field. Despite of these efforts, their approach did not succeed because of difficulty of image processing in detecting the ground glass opacity (GGO) areas exactly. Thus they did not reach to the stage of automatic detec-tion employing unknown thoracic MDCT data sets. In this paper, we develop a CAD system for automatic detecting of GGO areas from thoracic MDCT images by use of five statistical features which are obtained four density features and one shape feature. The proposed technique applied on 31 MDCT image sets. 79.4 [%] of recognition rates and 1.07 of false positive rates was achieved. Some experimental results are shown along with a discussion. © 2010 ISSN.

Scopus

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Automatic detection of GGO candidate regions by using density and shape features 査読有り

Hyoungseop Kim,Yoshifumi Katsumata,Joo Kooi Tan,Seiji Ishikawa

International Jopurnal of Innovative Computing, Information and Control 6 ( 1 ) 255 - 262 2010年01月

Automatic detection and tracking of moving object employing a particle filter 査読有り

Sugandi,Kim,Tan,Ishikawa

International Conference on Innovative Computing, Information and Control CD-R 2009年12月

Automatic detection of lung nodules in temporal subtraction image by use of shape and density features 査読有り

Miyake,Kim,Itai,Tan,Ishikawa,Katsuragawa

International Conference on Innovative Computing, Information and Control CD-R 2009年12月

Automatic classification of GGO regions employing linear discriminant function from the thoracic CT images 査読有り

Seiji Shozawa,Hyoungseop Kim,Joo Kooi Tan,Seiji Ishikawa

ICIC Express Letters, An International Journal of Research and Surveys 3 ( 4(A) ) 963 - 968 2009年12月

Three-dimensional Human Motion Modeling by Back Projection Based on Image-based Camera Calibration 査読有り

Masaoka S.,Tan J.K.,Kim H.S.,Ishikawa S.,Shinomiya T.

Journal of Artificial Life and Robotics, Springer Tokyo 14 ( 4 ) 515 - 518 2009年12月

Development of registration method for head CTA and MRA images based on 2-D projection image 査読有り

Shunsuke Horita,Kouhei Harada,Hyoungseop Kim,Joo Kooi Tan,Seiji Ishikawa,Akiyoshi Yamamoto

ICIC Express Letters, An International Journal of Research and Surveys 3 ( 4(A) ) 957 - 962 2009年12月

An image registration method for head CT and MR imaging based on optimal retrieval 査読有り

Yutaro Yamamura,Hyoungseop Kim,Joo Kooi Tan,Seiji Ishikawa,Akiyoshi Yamamoto

International Journal of Innovative Computing, Information and Control 5 ( 11(B) ) 4249 - 4254 2009年11月

Detection of GGO candidate regions by using edge enhancement filter and statistical features 査読有り

Hyoungseop Kim,Syed Faruk Amed ,Joo Kooi Tan,Seiji Ishikawa

International Journal of Innovative Computing, Information and Control 5 ( 11(B) ) 4267 - 4274 2009年11月

Development of Image Viewer for Dental CT Images 査読有り

Kizuka,Mito,Kim,Tan,Ishikawa,Tanaka,Morimoto

2nd Japan-Korea Joint Symposium on Bio-microsensing Technology 29 - 30 2009年11月

A moving object tracking based on color information employing a particle filter algorithm 査読有り

Sugandi,Kim,Tan,Ishikawa

Journal of Artificial Life and Robotics 14 ( 1 ) 39 - 42 2009年10月

Detecting Pedestrians from a Video by Stereo Cameras 査読有り

Kazuki Inumaru,Joo Kooi Tan,Hyoungseop Kim,Seiji Ishikawa

ICROS-SICE International Joint Conference 2009 663 - 666 2009年08月

A Particle Filter with Adaptive Model for Object Tracking 査読有り

Sugandi Budi,Hyoungseop Kim,Joo Kooi Tan,Seiji Ishikawa

ICROS-SICE International Joint Conference 2009 657 - 662 2009年08月

Human Activity Analysis: Concentrating on Motion History Image and Its Variants 査読有り

Md. Atiqur Rahman Ahad,Joo Kooi Tan,Hyoungseop Kim,Seiji Ishikawa

ICROS-SICE International Joint Conference 2009 5401 - 5406 2009年08月

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