Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1145/3410530.3414386

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.1186/s41074-019-0054-2

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Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.1186/s41074-019-0061-3

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Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/ICIP.2019.8803396

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.1109/TCSVT.2017.2760835

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.1186/s41074-018-0039-6

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Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.1186/s41074-018-0041-z

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/SII.2016.7844052

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Authorship：Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)

<p>We propose a method for estimating the user's comfort/discomfort in response to the lighting condition during desk work. We fluctuate the lighting condition slightly, and the user's comfort/discomfort is estimated according to unconscious behaviors induced by the illuminance fluctuation. The experimental results show that the proposed method with illuminance fluctuation outperforms the conventional method with constant illuminance.</p>

DOI： 10.5687/iscie.30.183

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Other Link： https://www.jstage.jst.go.jp/article/iscie/30/5/30_183/_pdf

Authorship：Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)

In this study, we propose the method for estimating the user's fatigue due to mental load like a desk work based on information of facial expressions. It is, however, difficult to estimate the mental fatigue using ambient sensors information because of a small change of user's appearance. Thus the user's mental fatigue is measured based on his/her facial expression during speech. As experimental results, recognition rate base on facial expression during speech marks higher rate (at most 89%) than that based on facial expression without speech. In addition, we conduct the another experiment for different types of workload, it is confirmed that proposed method is effective for various fatigue.

DOI： 10.9746/sicetr.53.90

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Other Link： https://www.jstage.jst.go.jp/article/sicetr/53/1/53_90/_pdf

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/SII.2015.7404982

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)

A multi-sensor-based ambient sensing system is proposed for estimating the user's comfort/discomfort in response to the lighting condition during desk work. The user's comfort/discomfort is estimated according to facial expression, body sway, writing motion and frequency of drinking measured by sensors embedded in the environment. The recognition rate of the user's comfort/discomfort under the lighting condition that induces different feelings of comfort depending on the user's state of the day is evaluated in an experimental environment. As a result, the recognition rate of the user's comfort/discomfort on a two-point scale is 91% when selecting a suitable combination of ambient sensors. Furthermore, it is suggested that not only information of facial expression but also the information of body sway, writing motion and frequency of drinking is useful for the estimation of comfort/discomfort.

DOI： 10.2197/ipsjjip.23.776

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Other Link： http://id.nii.ac.jp/1001/00146086/

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/SII.2014.7028076

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Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/WACV57701.2024.00642

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Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

Authorship：Last author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1007/978-3-031-49212-9_42

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Authorship：Lead author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1117/12.2692433

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Language：Japanese   Publishing type：Research paper (scientific journal)

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DOI： 10.1016/j.nima.2022.167836

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Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.1587/transinf.2022EDP7100

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Language：Japanese   Publishing type：Research paper (scientific journal)

DOI： 10.1541/ieejeiss.143.430

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Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.3389/fpsyt.2023.1184156

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Language：Japanese   Publishing type：Research paper (scientific journal)

Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.1007/s42979-022-01393-6

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Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.1007/s42979-022-01176-z

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Language：English   Publishing type：Research paper (scientific journal)

Public meeting articles are the key to understanding the history of public opinion and public sphere in Australia. Information extraction from public meeting articles can obtain new insights into Australian history. In this paper, we create an information extraction dataset in the public meeting domain. We manually annotate the date and time, place, purpose, people who requested the meeting, people who convened the meeting, and people who were convened of 1258 public meeting articles. We further present an information extraction system, which formulates information extraction from public meeting articles as a machine reading comprehension task. Experiments indicate that our system can achieve an F1 score of 74.98% for information extraction from public meeting articles.

CiNii Research

Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/BIOSIG55365.2022.9897053

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Language：Japanese   Publishing type：Research paper (scientific journal)

This research aimed to compare of accuracy for machine learning using pulse wave. The subjects were 32 healthy young adults. They were divided to two groups by psychological tests. The pulse waves were measured during four emotional audiovisual stimuli. The subjects were discriminated into the mental stable or the mental unstable by Multi-Layer Perceptron (MLP) and Recurrent Neural Network (RNN) by using pulse wave, and the accuracy was calculated. The rate of the RNN was higher than that of the MLP for the most of the stimuli. These results suggest that RNNs would suitable for machine learning using pulse wave.

DOI： 10.1541/ieejeiss.142.1115

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Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1007/978-3-031-11644-5_60

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Language：English   Publishing type：Research paper (international conference proceedings)

Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.3389/fpsyt.2021.731137

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Authorship：Last author   Language：English   Publishing type：Research paper (scientific journal)

Language：English   Publishing type：Research paper (scientific journal)

<p>In this study, we propose a method to estimate body composition-related health indicators (e.g., ratio of body fat, body water, and muscle, etc.) using video-based gait analysis. This method is more efficient than individual measurement using a conventional body composition meter. Specifically, we designed a deep-learning framework with a convolutional neural network (CNN), where the input is a gait energy image (GEI) and the output consists of the health indicators. Although a vast amount of training data is typically required to train network parameters, it is unfeasible to collect sufficient ground-truth data, i.e., pairs consisting of the gait video and the health indicators measured using a body composition meter for each subject. We therefore use a two-step approach to exploit an auxiliary gait dataset that contains a large number of subjects but lacks the ground-truth health indicators. At the first step, we pre-train a backbone network using the auxiliary dataset to output gait primitives such as arm swing, stride, the degree of stoop, and the body width — considered to be relevant to the health indicators. At the second step, we add some layers to the backbone network and fine-tune the entire network to output the health indicators even with a limited number of ground-truth data points of the health indicators. Experimental results show that the proposed method outperforms the other methods when training from scratch as well as when using an auto-encoder-based pre-training and fine-tuning approach; it achieves relatively high estimation accuracy for the body composition-related health indicators except for body fat-relevant ones.</p>

DOI： 10.1587/transinf.2020ZDP7502

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Language：English   Publishing type：Research paper (international conference proceedings)

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Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.1007/s41109-020-00321-y

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Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.3389/fpsyg.2020.00568

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Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1145/3379336.3381500

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Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/VRW50115.2020.00090

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

オンライン教育やブレンディッドラーニングの普及に伴い，インターネット上で動画による講義を受講できるeラーニングの需要が高まってきている．eラーニングの課題として，学習者のエンゲージメントの維持があり、それを妨げる要因の一つとして眠気が挙げられる．眠気の検知に関する研究として，自動車分野では画像処理技術を用いた運転中のドライバーの眠気度合いの推定などが進められている．一方で，講義動画視聴中の学習者の覚醒度を推定する研究は未だ少ない．そこで，本研究では， eラーニング学習中のエンゲージメントの維持を目的として，講義動画視聴中の学習者の顔表情と頭部方向の変化に基づいて覚醒度を推定する手法を提案する．

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Other Link： http://id.nii.ac.jp/1001/00205777/

Language：English   Publishing type：Research paper (international conference proceedings)

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Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1007/978-3-030-36683-4_3

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

<p>Public meeting articles are the key to understanding the history of public opinion and universal principles in Australia. By extracting information from public meeting articles, new insights into Australian history can be gain. In our study, we create an information extraction dataset in the public meeting domain and consider the information extraction method. We manually annotated information on the date, time, place, purpose, who requested the call, who called, and who was called, and created 118 gold articles. We proposed a method to extract information as a task of machine reading, and as a result of experiments, it was judged that there was no answer in the article for any of the extraction targets. This is because 95.20% of the public meeting data is not compatible with the extraction target.</p>

DOI： 10.11517/pjsai.jsai2020.0_3rin405

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

DOI： 10.4992/pacjpa.83.0_1b-052

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Other Link： https://www.jstage.jst.go.jp/article/pacjpa/83/0/83_1B-052/_pdf

Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)

Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)

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Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1007/978-3-030-21074-8_5

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1117/12.2522245

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)

Authorship：Lead author,　Last author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)

DOI： 10.3169/ITEJ.72.566

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Language：English   Publishing type：Research paper (scientific journal)

<p>Tracking precisely of abnormalities in the gastrointestinal tract is useful for preparing sample image sequences on educational training for medical diagnose on endoscopy. While the gastrointestinal wall deforms continuously in an unpredictable manner, however, abnormalities without distinctive features make it difficult to track over continuous frames. To address this problem, the proposed method employs Convolutional neural networks (CNN) for tracking lesion area. Conventionally, CNN for tracking requires a large amount of sample data for preliminary learning. The state-of-arts tracking methods using CNN are premised on preliminary learning on data similar to target images given a large number of correct answer labels. On the other hand, the proposed method are not required preliminary learning using similar data. The image components in the marked region at the starting frame is similar to components at the only same position, but different between them depending on the degree of overlapped area. Furthermore, in the successive frame, the components in the previous region is similar to them in the identified area. Therefore, similarity can be learned in the previous frame, called it as an intra-frame training. This paper describes the method for tracking an abnormal region by using CNN based on training overlap rates between the abnormal region and local scanning one with the same size on the starting intra-frame. Furthermore, network parameters are transformed from training the similar regions on the continuous frame additionally. We demonstrate the efficiency of the proposed approach using eight common types of gastrointestinal abnormality.</p>

DOI： 10.1527/tjsai.C-I33

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Authorship：Lead author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)

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Authorship：Lead author   Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

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Authorship：Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)

Language：English   Publishing type：Research paper (scientific journal)

Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)

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Authorship：Last author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (bulletin of university, research institution)

Authorship：Last author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)

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<p>Typing keyboard is a very common activity, but is difficult for the people with hand tremor. Because hand tremor featured with involuntary hand shaking affects precise hand movements and finger control, and most of keyboards have small keys and close key arrangement, tremor hands usually fail to type the desired key of keyboard. In this paper, we proposed a typing assisted system to support hand tremor sufferers correctly typing with the ordinary physical keyboard under the condition of hand tremor movements. The system includes the novel technologies of finger stabilization and virtual key remapping, which contribute to estimate user's wanted key from finger involuntary shaking and to make sure the key correctly input in the case of finger actually touching the wrong key of keyboard. The experiment results showed that tremor hand typing with the proposed system can significantly reduce the input error rate and the time wasted on correcting error input, comparing with tremor hand typing keyboard directly.</p>

DOI： 10.18974/tvrsj.21.2_227

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Authorship：Last author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (bulletin of university, research institution)

Authorship：Last author   Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1007/978-3-319-21067-4_17

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)

In this study, we introduce a system for tracking multiple people using multiple active cameras. Our main objective is to <i>surveille</i> as many targets as possible, at any time, using a limited number of active cameras. In our context, an active camera is a statically located pan-tilt-zoom camera. In this research, we aim to optimize the camera configuration to achieve maximum coverage of the targets. We first devise a method for efficient tracking and estimation of target locations in the environment. Our tracking method is able to track an unknown number of targets and easily estimate multiple future time-steps, which is a requirement for active cameras. Next, we present an optimization of camera configuration with variable time-step that is optimal given the estimated object likelihoods for multiple future frames. We confirmed our results using simulation and real videos, and show that without introducing any significant computational complexities, it is possible to use active cameras to the point that we can track and observe multiple targets very effectively.

DOI： 10.1587/transinf.E97.D.2124

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.1002/ecj.11547

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (bulletin of university, research institution)

Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)

We propose a method for constructing an interpersonal interaction system using a real image-based avatar. Human-computer interaction is important when we communicate with computers. As a medium of an interpersonal interaction, communication robots are used commonly in the real world and CG avatar is used in the virtual world. On behalf of the communication robots, android robots that have a similar appearance to an actual person can effectively transfer the human presence. On the other hand, CG avatar has advantages of a cost and installation space as compared to communication robots. When we use a CG avatar for a communication, it is important to increase the reality of a speaker. In this paper, we construct a prototype of an interpersonal interaction system using a real image-based avatar. By generating the avatar from captured images, we can have a high realistic sensation similar to the interpersonal communication system such as a video conference system. In the proposed method, additionally, the movement of the avatar is smoothed by generating interpolated images. The interpolated images are generated by approximating avatar's each body part as an ellipsoid, using user's posture information. To verify the validity of the system, we have conducted the experiments of subjective evaluation.

DOI： 10.1541/ieejeiss.134.102

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)

In this study, we introduce a system for tracking multiple people using multiple active cameras. Our main objective is to <i>capture</i> as many targets as possible at any time, using a limited number of active cameras. In our context, an active camera is a statically located pan-tilt-zoom camera.  The use of active cameras for tracking has not been thoroughly researched, because it is relatively easier to set up and use static cameras. However, there are many properties of active cameras that we can exploit. Our results show that an approximately two-fold increase in relative accuracy can be achieved without any significant increases in computational costs.  Our main contributions include removing the necessity for the individual detection of each tracked target, estimating the future states of the system using a simplified fluid simulation, and finally unifying the active camera tracking method using a minimum risk formulation. We also improved the accuracy by developing an efficient method for attracting cameras towards targets located far away from the present camera configuration.

DOI： 10.1541/ieejeiss.134.870

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1007/978-3-642-53926-8_18

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)

In this study, we investigated expressive facial reactions in response to changes in the visual environment and their automatic extraction from sensors, in order to construct a comfortable level of illumination in personal living spaces. We conducted an experiment that showed that expressive facial reactions occur when illumination in the visual environment changes. We captured facial images and manually classified them as expressing or not expressing discomfort. We then conducted a second experiment that showed that automatic image processing can be used to extract and identify these expressive facial reactions. We extracted facial features and used a support vector machine to learn the classification in this experiment.

DOI： 10.1541/ieejeiss.134.218

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)

DOI： 10.11499/sicejl.53.599

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1007/978-3-642-39342-6_30

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)

Authorship：Lead author   Language：Japanese   Publishing type：Research paper (scientific journal)

This paper deals with a multi-agent path planning problem for tracking humans in order to obtain detail information such like human behavior and characteristics. To achieve this, paths of agents is planned based on similarity between the predicted intensity of humans positions and the agents' field of view in the future. The positions of humans are predicted by a <i>k</i>-Nearest Neighbor-based method which allows to predict complicated human movements in a real environment. The number of steps of the planned path is determined according to the consistency between the current prediction and the previous prediction of the future human positions to avoid the path planning using less reliable predictions. We conducted computer simulations and results showed that agents can follow human trajectories observed in a real environment, i.e., concourse of a station by our path planning method.

DOI： 10.9746/sicetr.49.553

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Other Link： https://www.jstage.jst.go.jp/article/sicetr/49/5/49_553/_pdf

Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)

DOI： 10.1109/TSMCC.2012.2203801

Scopus

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Authorship：Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)

Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1007/978-3-642-31567-1_13

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)

Many researches and developments of table-top interface have been proposed in the last decade. In a table-top system, the difference of operations between the digital media and the physical media like a paper gives us unsatisfactory experience and disturbs a comfortable simultaneous using of them. It is required for user satisfaction that the user can operate the digital and physical media seamlessly. In this paper, we propose a table-top interface system that allows users to operate digital media intuitively by using gesture recognition. The proposed table can capture an image of the object on the table by press gesture recognition from users' nail images based on SVM, and can acquire a digital content from a digital paper reader by shake gesture of the device. The evaluation experiments show that the proposed system recognizes users' finger state with higher accuracy and the users can intuitively operate the table without awareness of the data transmission.

DOI： 10.1541/ieejeiss.132.1340

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Language：Japanese   Publishing type：Research paper (scientific journal)

In this paper, we propose a control method for multiple lights to provide a comfortable living environment for all residents in it. It is not easy to configure the illuminance environment because of dynamic changes in the environment which are induced by disturbances such as obstacles of light and the external light. In this study, we employ the light occlusion rate parameter to estimate the illuminance situation and the voltage of light is controlled based on the estimated value. Furthermore, we employ a control rule based on the theory of biological fluctuation to make the estimation more precisely. Experimental results show that our method works well and the occlusion parameter can be estimated stably.

DOI： 10.9746/sicetr.48.740

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

CiNii Article

CiNii Research

Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/IROS.2011.6048133

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1007/978-3-642-25346-1_24

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1007/978-3-642-25167-2_3

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

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Other Link： http://id.nii.ac.jp/1001/00077732/

Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

本研究では，ユーザの身体動作からその心理状態の変化を解釈し，それらを指標とする自律的な快適環境構築システムを提案する．本論文では，提案システムを構築するに際して，居住空間における光環境に着目し，「環境に不快と感じる照度変化が生じた際，ユーザにいかなる表出行動が観測されるか」という問題に焦点を当て，行動分析を行った．まず予備実験として，3名の被験者に対して様々なパターンの照度変化を与え，表出行動が存在すること，及び照度変化のパターンや学習による差異を確認した．次いで，11名の被験者に対して行動抽出実験を行い，その結果，頭部姿勢・視線方向の変化，瞬き，口の動き，本の角度調節等を表出行動として抽出した．

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Other Link： http://id.nii.ac.jp/1001/00077733/

Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1007/978-3-642-15825-4_53

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DOI： 10.1007/s10015-010-0777-8

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Authorship：Lead author   Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

This paper deals with a multi-agent path planning problem for tracking humans in order to obtain detail information such like human behavior and characteristics. To achieve this, path of agents is planned based on a clustering method, that is, agents follow paths which minimize Kullback-Leibler (KL) divergence between the intensity of humans existing and the intensity of field of view of agents calculated from predicted human positions and planned paths of agents. When prediction of human movement is accurate, the long-term prediction of human position would improve the performance. Since the prediction is not always accurate, the number of prediction steps is determined according to the difference between the current prediction and the previous prediction of the future human position. We conducted computer simulation and results showed that our path planning method works well even under changing circumstances.

DOI： 10.1299/jsmermd.2010._2p1-b24_1

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Other Link： https://www.jstage.jst.go.jp/article/jsmermd/2010/0/2010__2P1-B24_1/_pdf

Authorship：Lead author   Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

本研究では効率の良い人物追跡を行うため，人物の位置予測に基づいた移動エージェントの経路計画問題を扱う．人物の位置予測の容易さに応じて予測ステップ数を変化させることによって，環境の変化にロバストな人物追跡が可能となった．

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Other Link： http://id.nii.ac.jp/1001/00071690/

Authorship：Lead author   Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

This paper describes an efficient solution to a multi-agent path planning problem where a relatively small number of agents track many persons for surveillance purposes. Since search space for path planning is enormous, we developed a meta-heuristics-based planner where the optimization process changes according to the Kullback-Leibler Divergence between the current and the previous prediction of the state transition. We conducted simulated experiments and shows our planning method is considered to be effective.

DOI： 10.1299/jsmermd.2009._2a1-f13_1

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Other Link： https://www.jstage.jst.go.jp/article/jsmermd/2009/0/2009__2A1-F13_1/_pdf

Authorship：Lead author   Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

This paper describes an efficient solution to a multi-camera view planning problem. We deal with the case where a relatively small number of active cameras track many persons for surveillance purposes. Planning camera view is therefore one of the important issues in realizing a competent surveillance system. In our previous paper, we formulated the planning problem as a combinatorial optimization problem. Since its search space is very large, we developed a multistart local search (MLS)-based planner with non-linear programming for initial solution generation. The method is efficient enough to be used on-line. We apply the method to the problem of selecting several focused area in the image sequence from a fixed camera, which simulates the multi-camera view planning problem. Considering the success ratio of CamShift-based tracking, our planning method is considered to be sufficiently effective.

DOI： 10.1299/jsmermd.2008._2p2-b19_1

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Other Link： https://www.jstage.jst.go.jp/article/jsmermd/2008/0/2008__2P2-B19_1/_pdf

Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/ROBOT.2007.363962

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Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)

Authorship：Lead author   Language：Japanese   Publishing type：Research paper (scientific journal)

This paper describes a view planning of multiple cameras for tracking multiple persons. View planning of cameras is a very important problem in watching multiple persons in a wide area by using a few cameras. We select fixation points of cameras so that the expected number of tracked persons is maxmized, based on a probabilistic model of person motion. We propose a multi-start local search-based method for tracking persons intermittently using a criterion which allows frequent shifts of fixation points. This view planning outperforms the others and is considered to be appropriate for wide area surveillance systems. We then modify the method so that the planning cost is reduced. We divide the cameras into mutually independent groups based on relations between their veiwing directions and determine fixation points within each group. The performance of this modified method is comparable to the original one with a lower planning cost.

DOI： 10.7210/jrsj.25.1226

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Authorship：Lead author   Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)

This paper describes a view planning of multiple cameras for tracking multiple persons. View planning of cameras is a very important problem in watching multiple persons in a large room by using a few cameras. We select the focuses of attention (FOAs) of cameras efficiently by predicting persons' future positions with their uncertainty. First, we propose an exhaustive search-based planning method and a multi-start local search-based method for tracking persons continuously and compare them. In these methods, we set the FOAs of cameras on the positions so that cameras can catch as many persons as possible. Next, we propose a multi-start local search method for tracking persons intermittently and compare this view planning with others based on a differnt evaluation criterion which allows frequent shifts of the FOAs of cameras. This view planning outperforms the others and is considered to be appropriate for wide area surveillance systems.

DOI： 10.1299/jsmermd.2006._2a1-c17_1

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Other Link： https://www.jstage.jst.go.jp/article/jsmermd/2006/0/2006__2A1-C17_1/_pdf

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