研究者詳細 - 丹上　結乃純

論文 - 丹上　結乃純

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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 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.

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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 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.

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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）

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.

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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）

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.

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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 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.

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Solving boundary problem of the motion database for improved human motion recognition 査読有り

S.M.Ashik Eftakhar,Joo Kooi Tan,Hyoungseop Kim,Seiji Ishikawa

Proc.of the 6th International Conferece on Electrical and Computer Engineering(ICECE2010) 698 - 701 2010年12月

Recognition human motions from surrounding viewpoints employing hierarchical eigenspaces 査読有り

S.M.Ashik Eftakhar,Joo Kooi Tan,Hyoungseop Kim,Seiji Ishikawa

Proc. of the 11th International Conference on Control,Automation,　Robotics and Vision(ICARCV2010), 2179 - 2184 2010年12月

A color-based particle filter for multiple objects tracking in outdoor environment 査読有り

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

Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10 604 - 609 2010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）

Tracking of multiple objects is more challenging than tracking a single object. Some problems arise in multiple object tracking that do not exist in single object tracking such as objects occlusion, appearing new object and disappearing already existed object, updating the occluded object, etc. In this paper, we present an approach to handle multiple objects tracking in the presence of occlusions, background clutter and appearance change. The occlusion is handled considering the predicted trajectories of the objects based on a dynamic model and likelihood measures. We propose also a target-model update conditions, ensuring the proper tracking multiple objects. The proposed method is implemented in the probabilistic framework such as particle filter in conjunction with a color feature. The particle filter has proven very successful for non-linear and non-Gaussian estimation problems. It approximates a posterior probability density of the state such as the object position by using samples or particles, where each state is denoted as the hypothetical state of the tracked object and its weight. The observation likelihood of the objects is modeled based on color histogram. The sample weight is measured based on Bhattacharya coefficient that measures the similarity between each sample's histogram with a specified target model. The algorithm can track the multiple objects in the present of occlusion and noise successfully. Some experimental results show the effectiveness of our method to track the multiple objects. © 2010 ISAROB.

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Automatic detection of pedestrians from stereo camera images 査読有り

Inumaru K., Tan J., Ishikawa S., Morie T.

Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10 1018 - 1021 2010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）

we propose a technique for detecting pedestrians employing stereo camera images based on probabilistic voting. From a disparity map, each pixel on the image is voted on a depth map employing a 2-D Gaussian distribution. The region having a peak value of the vote is chosen as the foot of an object. The object is specified by a rectangle on the right image, which is referred to as a region of interest (ROI). This ROI is described by HOG features and it is judged by SVM if it contains a person. With the ROI containing a person, Kalman filter is applied to track the person through successive image frames. Performance of the detection of persons was evaluated employing a ground truth data. The rate of detected persons to the ground truth data, called a recall rate, was 80 %. This is a satisfactory result. © 2010 ISAROB.

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Recognizing human motions from surrounding viewpoints employing hierarchical eigenspaces 査読有り

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

11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 2179 - 2184 2010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）

The development of an automatic human motion recognition system leads to the solution to the problems concerning the video-based applications in recognizing human activities. Such a system is to be investigated in the context of human motion analysis. Although there were a large number of researches in this area for a long time, there was little attention given to the development of a structured database for successful retrieval of motion data incorporating the time-space trade-off. We have proposed a system which is capable of dealing with large set of motion data employing an efficient database structure with improved performance. We have analyzed two motion representation techniques to realize the effectiveness of the system. Performance evaluation is performed by synthesized 3D human motions observed from eight camera directions. Finally, our results show that the proposed recognition scheme performs well for the captured motions. ©2010 IEEE.

DOI： 10.1109/ICARCV.2010.5707401

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On detecting a human and its body direction from a video 査読有り

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

Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10 294 - 297 2010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 describes a novel technique for detecting a human and its 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 a human model. The feature is also employed for detecting human body direction. Experimental results show effectiveness of the proposed technique compared to the conventional one. © 2010 ISAROB.

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Modeling of human postures using stereo camera 査読有り

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

ICCAS 2010 - International Conference on Control, Automation and Systems 1432 - 1435 2010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 an automatic human posture acquisition technique by a robot. Decrease of working population will be a vital problem in our society. Escaping from the work in danger is also important for a human being to raise QOL. To solve all theses issues, it may be quite useful to realize a robot which works in place of a human. Based on this background, our research aims at making a technique for a robot to acquire various human postures/motions automatically. In this paper, a technique is presented for obtaining human postures automatically by employing a human skeleton model and a stereo camera system. Performance of the technique is shown experimentally. ©ICROS.

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Human motion recognition using directional motion history images 査読有り

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

ICCAS 2010 - International Conference on Control, Automation and Systems 1445 - 1449 2010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）

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 strain, 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, an overall motion can be understood 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 the Histograms of Oriented Gradients (HOG) feature. In the experiment, the number of bins and local area (cell) sizes for calculating the HOG feature are changed and the most suitable values are inspected. ©ICROS.

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Human behavior analysis with optical flow and median-filtered Temporal Motion Segmentation method 査読有り

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

Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10 1022 - 1025 2010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）

We focus on human activity analysis so that an intelligent system (e.g., a robot) can easily understand some important activities and help thereby. Hence we present an improved method for activity analysis, called Medianfiltered Temporal Motion Segmentation (MfTMS) method, which can segment and understand motion temporally from the video sequence. It is based on the computation of optical flow and thereafter split it into four different channels. Later median filtering is applied and we produce four motion-history templates based on the directional motion vectors. Based on the total pixel volumes on these history templates and their related variations, various directions of the action primitives are segmented temporally. We conduct experimentations both indoor and outdoor environments and achieved sound performance. This segmentation method can assist an intelligent system or a robot to understand activities and take decisions afterwards. It is a simple but robust approach. © 2010 ISAROB.

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Detection of blood vessel regions using weighted MIP from non-enhanced MR imaging 査読有り

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

ICCAS 2010 - International Conference on Control, Automation and Systems 2078 - 2081 2010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, arterio sclerosis obliterans (ASO) caused by the chronic ischemia of limbs increase remarkably. As one of the diagnosis methods of this disease, the image diagnosis such as MR image is used on medical fields. In this paper, we propose a method to develop medical diagnostic support system using fresh blood imaging (FBI) method, in which the structure of blood vessel regions in legs could be analyzed from non-enhanced MR images. As the method, an initial point of the vessel regions in the artery areas is acquired from weighted MIP images automatically. Then extend the artery areas using region growing method. Especially, we developed for the position relationship of the crossed blood vessel and the segment accuracy in peripheral artery areas that is improved by using weighted MIP images that the result could not be gotten in conventional MIP images. To evaluate our proposed method, we performed our proposed method and satisfactory results are achieved. ©ICROS.

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Detecting a human body direction using a feature selection method 査読有り

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

ICCAS 2010 - International Conference on Control, Automation and Systems 1424 - 1427 2010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 describes a novel technique for detecting a human body direction using SVM constructed by HOG feature selected by AdaBoost. HOG feature is well-known feature for the robust judgment of a human. We employ the feature for detecting a human body direction. We compared some feature selecting methods with the previous one. Experimental results show effectiveness of the proposed method. ©ICROS.

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Automatic detection of pedestrians from stereo camera images 査読有り

Tan J., Inumaru K., Ishikawa S., Morie T.

Artificial Life and Robotics 15 ( 4 ) 459 - 463 2010年12月

記述言語：英語掲載種別：研究論文（学術雑誌）

We propose a technique for detecting pedestrians by employing stereo camera images and based on probabilistic voting. From a disparity map, each pixel on the image is voted on a depth map employing a 2-D Gaussian distribution. The region having the peak value in the vote is chosen as the foot of an object. The object is specified by a rectangle on the right image, which is referred to as the region of interest (ROI). This ROI is described by HOG features, and is judged by SVM if it contains a person. With an ROI containing a person, a Kalman filter is applied to track the person through successive image frames. The performance of the detection of people was evaluated by employing ground truth data. The ratio of people detected to the ground truth data, called the recall rate, was 80%. This is a satisfactory result. © 2010 International Symposium on Artificial Life and Robotics (ISAROB).

DOI： 10.1007/s10015-010-0843-2

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Method for reduction of metal artifacts in dental CT images by use of frequency analysis 査読有り

Mito K., Kim H., Tan J., Ishikawa S., Tanaka T., Morimoto Y.

ICCAS 2010 - International Conference on Control, Automation and Systems 1271 - 1274 2010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）

CAD (Computer Aided Diagnosis) system that has 3-D viewer function to display the DICOM (Digital Imaging and Communication in Medicine) image has been developed in recent years. Now, the function of CAD system for artificial implant to which development is advanced includes the removal of artifact in the input DICOM image, region extraction of bone, major vessel, and nerve and mounting of function to presume place where implant is stricken. However, it is still required a software with high performance because of taking the processing time to do a series of operation before simulating by the strike of the implant on the operation on a clinical site. In this paper, we propose the function to extract the area of bone separately for teeth and mandibles automatically as addition to the system that can do a series of operation before simulating by the strike of the implant. In addition, we proposed also the function to extract each tooth separately. The main aim of this paper is to develop the integrative system for the dental screening that can be operated in a personal computer. ©ICROS.

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Segmentation method for phalanges in CR image by use of DCT 査読有り

Hozu Y., Murakami S., Kim H., Tan J., Ishikawa S., Aoki T.

ICCAS 2010 - International Conference on Control, Automation and Systems 2082 - 2085 2010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 this paper, we propose a CAD (Computer aided diagnosis) system to analyze the RA (rheumatoid arthritis) and osteoporosis by using image processing techniques from the CR images. To analyze the RA, we develop a segmentation method for phalanges in CR Image by use of DCT (Discrete Cosine Transform) for detection of temporal change. The temporal change is detected using the difference image between previous image and current one. The DCT is performed to emphasize the edge of the difference image. Finally, the phalanges are extracted by performing Snakes. The primary objective of this study is to segment phalanges by making temporal subtraction images. We apply our proposed technique to eight cases of CR images and satisfactory segmentation results are achieved. A new index that diagnoses the progress level of the disease of phalanges can be offered as a second opinion. ©ICROS.

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Segmentation of artery areas on none-enhanced fresh blood imaging based on dot enhancement filter and 3-D region growing method 査読有り

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

Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10 493 - 496 2010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）

Peripheral arterial disease (PAD) is characterized by lower extremities arterial obstruction due to athe rosclerosis and manifests in lower extremities as intermittent claudicating, limb ischemia, or gangrene. The dia gnosis 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 new method for segmentation of arterial images, which are obtained from non-contrast enhanced magnetic resonance angiography (MRA) based on dot enhancement filter and 3-D region growing methods, and satisfactory experimental results are obtained. © 2010 ISAROB.

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