研究者詳細 - 丹上　結乃純

論文 - 丹上　結乃純

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A deep unified framework for suspicious action recognition 査読有り国際誌

Ilidrissi A., Tan J.

Artificial Life and Robotics 24 ( 2 ) 219 - 224 2019年06月

担当区分：最終著者,　責任著者記述言語：英語掲載種別：研究論文（学術雑誌）

As action recognition undergoes change as a field under influence of the recent deep learning trend, and while research in areas such as background subtraction, object segmentation and action classification is steadily progressing, experiments devoted to evaluate a combination of the aforementioned fields, be it from a speed or a performance perspective, are far and few between. In this paper, we propose a deep, unified framework targeted towards suspicious action recognition that takes advantage of recent discoveries, fully leverages the power of convolutional neural networks and strikes a balance between speed and accuracy not accounted for in most research. We carry out performance evaluation on the KTH dataset and attain a 95.4% accuracy in 200 ms computational time, which compares favorably to other state-of-the-art methods. We also apply our framework to a video surveillance dataset and obtain 91.9% accuracy for suspicious actions in 205 ms computational time.

DOI： 10.1007/s10015-018-0518-y

Scopus

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Walk environment analysis using my vision: Toward a navigation system providing visual assistance 査読有り国際誌

Tan J.K., Ishimine T., Arimasu S.

International Journal of Innovative Computing, Information and Control ( ICIC International 学会 ) 15 ( 3 ) 861 - 871 2019年06月

担当区分：筆頭著者,　責任著者記述言語：英語掲載種別：研究論文（学術雑誌）

This paper proposes a method of analyzing a human walk environment using MY VISION. MY VISION is an ego-camera and a computer system which analyzes a video obtained from the ego-camera to acquire certain visual information useful for hu- man daily activities. The system is expected to be a virtual eye of a visually impaired person or the third eye of a pedestrian absorbed in a mobile phone. The proposed method keeps in a database the background images of key points along a sidewalk and judges if a MY VISION user is walking along the sidewalk or if he/she has come to a crosswalk by referring to the backgrounds. If the former, the method finds a safe road region on the sidewalk, whereas, if the latter, it searches for the crosswalk for finding an appropriate walk direction and a traffic light to know the proper timing to cross it. Experimental re- sults show effectiveness of the proposed method.

DOI： 10.24507/ijicic.15.03.861

Scopus

CiNii Article

CiNii Research

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Saliency Detection using Boundary Aware Regional Contrast Based Seam-map 査読有り

Islam A., Ahsan S.M.M., Tan J.K.

2018 International Conference on Innovation in Engineering and Technology, ICIET 2018 2019年03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）

Most of the saliency detection methods use the contrast and boundary prior to extract the salient region of an input image. These two approaches are followed in Boundary Aware Regional Contrast Based Visual Saliency Detection (BARC) [1] along with spatial distance information to achieve state of the art result. In this research, a more interesting cue is introduced to extract the salient region from an input image. Here, a combination of seam map and BARC [1] is presented to produce the saliency output. Seam importance map with boundary prior is also presented to measure the performance of this combination. Experiments with ten state of the art methods reveal that we get better saliency output by combining seam information of an input image with BARC [1].

DOI： 10.1109/CIET.2018.8660825

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85063582435&origin=inward

Recognition of surrounding environment from electric wheelchair videos based on modified YOLOv2 査読有り

Sakai, Y., H.,Lu, Joo Kooi Tan, Hyoungseop Kim

Future Generation Computer Systems 92 ( 3 ) 157 - 161 2019年03月

Development of a Human-Robot Cooperative System Based on Visual Information 査読有り

Akitoshi Sato, Joo Kooi Tan, Yuta Ono

Proceedings of International Workshop on Advanced Image Technology(IWAIT2019) 1 - 6 2019年01月

Finding a rush-out human employing a human body direction detector 査読有り

Yuta Ono, Joo Kooi Tan, Akitoshi Sato

Proceedings of International workshop on Advance Image Technology (IWAIT 2019) 1 - 6 2019年01月

Employment of Uncalibrated Cameras for 3-D Shape Recovery

Tan Joo Kooi, Ishikawa Seiji

バイオメディカル・ファジィ・システム学会大会講演論文集 ( バイオメディカル・ファジィ・システム学会 ) 32 ( 0 ) B1 - 1 2019年01月

担当区分：筆頭著者記述言語：英語掲載種別：研究論文（研究会，シンポジウム資料等）

A method of 3-D shape recovery employing uncalibrated cameras is described. Three-dimensional shape recovery has long been studied to date and has various application fields. An established method for 3-D shape recovery is based on stereo cameras which necessitates camera calibration in advance. In this paper, a 3-D shape recovery method by uncalibrated cameras is presented, which ranges from the recovery of partial shape of an object to its entire shape. One of the main advantages of the present method is that the shape recovery is not restricted to a video capture site such as a studio, if only videos are able to be taken by cameras.

DOI： 10.24466/pacbfsa.32.0_B1-1

CiNii Article

CiNii Research

その他リンク： https://ci.nii.ac.jp/naid/130007980073

A Method of Describing a Self-occlusive Motion - A Reverse Motion History Image 査読有り

TAN Joo Kooi, OKAE Sayaka, YAMASHITA Youtaro, ONO Yuta

International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association ( バイオメディカル・ファジィ・システム学会 ) 24 ( 1 ) 1 - 7 2019年01月

担当区分：筆頭著者,　責任著者記述言語：英語掲載種別：研究論文（学術雑誌）

This paper proposes a new method of describing a self-occlusive human motion, particularly in the depth direction, which has been considered little in the motion/action recognition studies to date in spite of its importance in our daily life. A Motion History Image (MHI) is a well-known method of describing a motion by a single gray value image, but it suffers from a self-occlusion problem in which present motion overwrites past motion. To solve this difficulty, a Reverse description MHI(RMHI) is proposed in the paper. RMHI and the original MHI are both employed for motion representation in the proposed method; the former for approach motion, whereas the latter for leave motion. In the experiment on motion recognition, motions are described by RMHI or MHI according to motion direction, transformed then to Hu moment vectors, and finally recognized employing the k-nearest neighbor. Experimental results show effectiveness of the RMHI description.

DOI： 10.24466/ijbschs.24.1_1

CiNii Article

CiNii Research

その他リンク： https://ci.nii.ac.jp/naid/130007998971

Development of a human-robot cooperative system based on visual information 査読有り

Sato A., Tan J.K., Ono Y.

Proceedings of SPIE - The International Society for Optical Engineering 11049 2019年01月

担当区分：責任著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

In recent years, along with the aging of society worldwide, decrease of working population has become a serious problem. For this reason, robots are expected to substitute human work, automate distribution, and support human daily life, especially, elderly care assistance. In this research, we focus on the support of those who need care in everyday life, and, in this paper, we propose a human-robot cooperative system that supports acquisition of objects in cooperation with a human. The outline of the action of this robot is as follows: (i) It moves to the location designated by a user autonomously (not by remote control): (ii) On arrival, the robot exchanges information by video with the user who is at a remote place, and acquires the objects designated by the user among those placed there. (iii) After the acquisition, the robot moves again autonomously to the user and hands over the objects to the user. In this paper, we focus on step (ii) and show methods and some experimental results.

DOI： 10.1117/12.2522001

Scopus

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Saliency Detection using Boundary Aware Regional Contrast Based Seam-map 査読有り

Aminul Islam, Sk. Md. Masudul Ahsan, JooKooi Tan

IEEE Proceedings of International Conference on Innovation in Engineering and Technology(ICIET)2018 1 - 5 2018年12月

Registration of phalange region from CR images based on genetic algorithm 査読有り

Kawagoe K., Murakami S., Lu H., Tan J., Kim H., Aoki T.

International Conference on Control, Automation and Systems 2018-October 1464 - 1467 2018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 Japan, the number of patients with osteoporosis and rheumatoid arthritis is increasing. Image diagnosis using CR images is effective for osteoporosis and rheumatoid arthritis. Development of a CAD system is important for reducing burdens on doctors. In this paper, we propose an automatic registration algorithm in the CAD system. In the proposed method, the genetic algorithm is used to register bone regions between identical parts of the same subject with different time series. In the experiment, the proposed method is applied to 176 bone area, and 98.14 % of TPR, 1.85 % of FPR are obtained respectively. Even when the area difference is used as the fitness of the genetic algorithm, it has cross-correlation and positioning accuracy equivalent to mutual information.

Scopus

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Detection of phalange region based on U-Net 査読有り

Hatano K., Murakami S., Lu H., Tan J., Kim H., Aoki T.

International Conference on Control, Automation and Systems 2018-October 1338 - 1342 2018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）

Osteoporosis is one of the famous bone diseases. It is a major cause of deteriorating the quality of life, and early detection and early treatment are becoming socially important. Visual screening using Computed Radiography (CR) images is effective for diagnosis of osteoporosis, but there are problems of increasing the burden on doctors, variation in diagnostic results due to differences in experiences of doctors, and undetected lesions. In order to solve this problem, we are working on a computer-aided diagnosis (CAD) system for osteoporosis. In this paper, we propose segmentation methods of the phalange region from the phalangeal CR images as a preprocessing of classification of osteoporosis. In the proposed method, we construct a segmentation model using U-Net, which is a type of deep convolution neural network (DCNN). The proposed method was applied to input images generated from CR images of 101 patients with both hands, and evaluated using the Intersection over Union (IoU) values. The result was 0.914 in IoU.

Scopus

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Swallowing motion analyzing from dental MR imaging based on AKAZE and particle filter algorithm 査読有り

Suetani K., Lu H., Tan J., Kim H., Tanaka T., Kitou S., Morimoto Y.

International Conference on Control, Automation and Systems 2018-October 1343 - 1346 2018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 recent years, dysphagia is problem among elderly people. Therefore, it is necessary to accurately evaluate swallowing function in order to prevent swallowing disorder beforehand or to detect it early. And it is considered that evaluation of swallowing function using Magnetic Resonance Imaging (MRI) is useful. In order to accurately analyzing of the swallowing motion using a computer aided diagnosis (CAD) system on MR imaging, automatic extraction of the esophagus region, which is a region of interest by the image analysis method, is required. Extraction of the spinal region is required as a preliminary step of the esophagus region extraction. Therefore, in this paper, we develop an analysis method of swallowing movement by three steps of extraction of spinal region, extraction of esophageal region, and analysis of swallowing movement. As an analytical method of swallowing movement, we emphasize the liquid part at the time of swallowing movement using an emphasis map, then follow the liquid tracing by using the AKAZE feature quantity and the particle filter algorithm, and analyze the swallowing motion.

Scopus

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Extraction of median plane from facial 3D point cloud based on symmetry analysis using ICP algorithm 査読有り

Yamada S., Lu H., Tan J.K., Kim H., Kimura N., Okawachi T., Nozoe E., Nakamura N.

International Conference on Control, Automation and Systems 2018-October 1347 - 1350 2018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）

Cleft lip is a kind of congenital facial morphological abnormality. In the clinical field of cleft lip, it is necessary to analyze symmetric shape. However, there is no method to analyze the cleft lip technique based on symmetrical viewpoints. On the other hand, in our previous method to find a symmetric axis using a 2D image, since the middle line is extracted only from the front view of the face moire image. There was a problem that low accuracy was obtained by slight rotation of the face and it was not possible to consider 3D information. In this paper, we propose a method to extract the median plane of the face by analyzing based on bilateral symmetry by using 3D point cloud on the face of front. By extracting the median plane, we believe that not only surgical assistance of doctor be possible but also become a clue to development of simulation software which is the end goal.

Scopus

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Detection of phalange region based on U-Net 査読有り

Hatano K., Murakami S., Lu H., Tan J.K., Kim H., Aoki T.

International Conference on Control, Automation and Systems 1338 - 1342 2018年12月

Swallowing motion analyzing from dental MR imaging based on AKAZE and particle filter algorithm 査読有り

Suetani K., Lu H., Tan J.K., Kim H., Tanaka T., Kitou S., Morimoto Y.

International Conference on Control, Automation and Systems 1343 - 1346 2018年12月

Extraction of median plane from facial 3D point cloud based on symmetry analysis using ICP algorithm 査読有り

Yamada S., Lu H., Tan J.K., Kim H., Kimura N., Okawachi T., Nozoe E., Nakamura N.

International Conference on Control, Automation and Systems 1347 - 1350 2018年12月

Extraction of GGO Candidate Regions on Thoracic CT Images using SuperVoxel-Based Graph Cuts for Healthcare Systems 査読有り

H. Lu, M. Kondo, Y. Li, J. K. Tan, H. Kim, S. Murakami, T. Aoki, S. Kido

Mobile Networks and Applications 23 ( 6 ) 1169 - 1679 2018年12月

記述言語：英語掲載種別：研究論文（学術雑誌）

In this paper, we propose a method to reduce artifacts on temporal difference images by improving the conventional method using a non-rigid registration method for ground glass opacification (GGO), which is light in concentration and difficult to detect early. In this method, global matching, local matching, and 3D elastic matching are performed on the current image and past image, and an initial temporal difference image is generated. After that, we use an Iris filter, which is the gradient vector concentration degree filter, to determine the initial GGO candidate regions and perform segmentation using SuperVoxel and Graph Cuts in which a superpixel is extended to three dimensions for each region of interest. For each extracted region, a support vector machine (SVM) is used to reduce the over-segmentation. Finally, in the method that greatly reduces artifacts other than the remaining GGO candidate regions, Voxel Matching is applied to generate the final temporal difference image, emphasizing the GGO regions while reducing the artifact. The resulting ratio of artifacts to lung volume is 0.101 with an FWHM of 28.3, which is an improvement over the conventional method and shows the proposed method’s effectiveness.

DOI： 10.1007/s11036-018-1111-2

Scopus

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Segmentation of Spinal Canal Region in CT Images using 3D Region Growing Technique 査読有り

Fu G., Lu H., Tan J.K., Kim H., Zhu X., Lu J.

2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018 2018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）

Tumor of spinal cord (Spinal Cord Neoplasms (SCN)) is considered as one of the life threatening diseases that causes death. Early detection of the SCN plays an important role in the management of the lesions. To analyze the treatment, it is necessary to segment the spinal canal based on accurate three-dimensional image processing technique. This paper presents a segmentation algorithm based on 3D region growing for extracting spinal canal from CT images with high accuracy. Intersection over union (IoU) is used to compare the results of segmentation with the manual segmentation results. In the experiment, the proposed method was tested on 3373 CT slices of 10 patients. The proposed method has an average accuracy of 0.7732 and a variance of 0.0061. Satisfactory results have been achieved rapidly, which demonstrates the effectiveness and superiority of the proposed method.

DOI： 10.1109/ICT-ROBOT.2018.8549913

Scopus

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Object Detection on Video Images Based on R-FCN and GrowCut Algorithm 査読有り

Mouri K., Lu H., Tan J.K., Kim H.

2018 International Conference on Information and Communication Technology Robotics, ICT-ROBOT 2018 2018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）

Since the declining birthrate and the aging of society, there is concern about the labor shortage in Japan. There is a movement to compensate for the labor shortage by automation of factories by robots. Automation technique is wildly promoted in logistics industry, while there is few studies in objects picking. To solve this issue, we develop an image detection scheme for robotics picking from a video image. It is difficult to recognize and grasp different types of objects in robot vision field. Therefore, in the proposed method, object detection and object recognition method are proposed using Region-based Fully Convolutional Networks that is a type of object detection using deep learning. After detecting the object individually, final target object can select by applying the GrowCut algorithm. As a result, we achieve 0.6773 of the average precision and 0.6395 of Intersection over Union as the segmentation result respecively.

DOI： 10.1109/ICT-ROBOT.2018.8549879

Scopus

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