研究者詳細 - 神谷　亨

論文 - 神谷　亨

分割表示757 件中 481 - 500 件目／全件表示 >>

Japanese Finger-spelling Recognition Using a Chest-mounted Camera 査読有り

Nagasue, Tan, Kim, Ishikawa

The 17th International Symposium on Artificial Life and Robotics 1059 - 1062 2012年01月

Moving objects detection at an intersection by sequential background extraction 査読有り

Sonoda S., Tan J., Kim H., Ishikawa S., Morie T.

International Conference on Control, Automation and Systems 1752 - 1755 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）

Recently, there are many traffic accidents in turning right at an intersection. They are mainly caused by a driver's oversight of pedestrians and motorcycles that are occluded by oncoming cars. Therefore a system is necessary to detect moving objects such as oncoming cars and pedestrians at an intersection, and warn a vehicle driver. This paper describes a technique for detecting moving objects in turning right at an intersection when vehicle is stopping. Moving objects are detected by Mixture of Gaussians (MoG). In addition, we distinguish cars from pedestrians using the difference of the area size and the aspect ratio of detected objects. The object which is classified as a pedestrian is tracked using Lucas-Kanade Tracker. If the detected cars and pedestrians overlap or a car completely obscures pedestrians, we perform the estimation of pedestrian's location by using the information on past frames. By doing this, it is possible to detect pedestrians that drivers are actually difficult to see. The performance of the proposed technique was examined employing car videos and satisfactory results were obtained. © 2011 ICROS.

Scopus

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Extraction of individual pedestrians employing stereo camera images 査読有り

Kawabe M., Tan J., Kim H., Ishikawa S., Morie T.

International Conference on Control, Automation and Systems 1744 - 1747 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）

A traffic accident occurs mainly because of carelessness of a driver. To prevent such an accident, many systems which detect pedestrians from vehicle are proposed. But most of these systems give a warning to a driver every time when a pedestrian is detected. The effect of warning becomes lower if the frequency of warning increases in a busy area. The objective of this study is to develop a technique for detecting pedestrians from a vehicle and to arrange them according to their potential risks by analyzing their behaviors. In this paper, we propose a technique for segmenting pedestrians employing stereo camera images to analyze a pedestrian's behavior. First, foreground regions are extracted employing background estimation using the mixture of Gaussian model. After extracting foreground regions in an input image, these regions are segmented by using the distance information. By using this method, each shape of the detected pedestrians can be obtained even when pedestrians are overlapping with each other. The proposed technique was examined experimentally employing real video images and satisfactory results were obtained. © 2011 ICROS.

Scopus

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Direction-oriented human motion recognition with prior estimation of directions 査読有り

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

IECON Proceedings (Industrial Electronics Conference) 4226 - 4231 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）

As the facilities are becoming available with the advent of the state-of-art technologies, the necessity of man-machine interaction systems is growing day-by-day. Within various applications of such a system, one of the most promising applications in the field of computer vision is the understanding and the interpretation of human motion or behavior in a scene. Direction-oriented motion capture of a person performing some tasks is an important issue in developing a human motion recognition system, since an intelligent system should also be incorporated with the directional information. We propose a direction-oriented motion recognition approach that makes use of the directional information by prior estimation. This reduces the processing time of the system by excluding unnecessary searching for the most similar motions. In this approach, direction-wise motions are clustered within the feature space in order to make the direction estimation easier. Each motion is converted to individual template, namely Motion History Image (MHI) and Exclusive-OR (XOR) Image, by extracting distinguishable features from the video-clips containing the motions. A Structured Motion Database (SMoDB) is developed to match an unlabeled motion against the pre-stored motions. Experiments are conducted on an Avatar dataset and significant improvements in the results are noticed. © 2011 IEEE.

DOI： 10.1109/IECON.2011.6120002

Scopus

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Detection of pedestrians employing a wide-angel camera 査読有り

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

International Conference on Control, Automation and Systems 1748 - 1751 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）

Recently, the number of accidents that pedestrians have law violation is in the tendency of decrease in Japan. However, accidents caused by pedestrians crossing a crosswalk or dashing into a crosswalk still have high ratio, and both accident sources account for 15% of the whole number of accidents caused by a pedestrian. Although many researches in ITS in which pedestrians are detected from in-vehicle cameras have been actively done to solve these problems, they usually employ standard cameras, and those pedestrians who exist outside of the camera view cannot be detected. In this paper, we employ a wide-angle camera which has wider view than a general camera and propose a technique for detecting pedestrians from the wide-angle image. Since, in a wide-angle camera image, every object becomes smaller, we propose a technique for detecting pedestrians employing optical flows converging to a FOE (Focus of Expansion). Experimental results show satisfactory performance of the technique. © 2011 ICROS.

Scopus

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Detection of a bicycle and its driving directions using HOG feature 査読有り

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

Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11 781 - 784 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）

Studies on car vision have currently been practiced around recognizing a human enthusiastically. The Histograms of Oriented Gradients (HOG) feature has been proposed as useful feature for recognizing a human standing in various kinds of background. On the other hand, although a bicycle is important transportation vehicle in urban environment, its automatic recognition or detection is not an easy task for a computer vision system, because bicycle's appearance can change dramatically according to viewpoints and a person riding on the bicycle is a non-rigid object. Thus, automatic bicycle detection is an important research subject in an intelligent perception system using car vision. In this paper, we propose a method of detecting a bicycle and its driving direction using the HOG feature and RealAdaboost algorithm. Experimental results show satisfactory performance of the proposed method. © 2011 ISAROB.

Scopus

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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

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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

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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

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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

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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

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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

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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

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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

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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

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 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

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A Shape-Based Segmentation Method of Multi-organs on CT Images Using Genetic Algorithm 査読有り

Li, Takahashi, Kim, Tan, Ishikawa and Yamamoto

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

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