Faculty Profiles - KAWAGUCHI, Nobuo

Papers - KAWAGUCHI, Nobuo

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Short Segment Random Forest with Post Processing Using Label Constraint for SHL Recognition Challenge

Matsuyama Hitoshi, Urano Kenta, Hiroi Kei, Kaji Katsuhiko, Kawaguchi Nobuo

PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT) page： 1636-1642 2018

A Smartphone Positioning Method Based on Spinning Magnet Marker Reviewed

武島知勲, 梶克彦, 廣井慧, 河口信夫, 神山剛, 太田賢, 稲村浩

情報処理学会論文誌ジャーナル(Web) Vol. 59 ( 1 ) page： 138 - 149 2018

Image Translation Between Sar and Optical Imagery with Generative Adversarial Nets. Reviewed

Kenji Enomoto, Ken Sakurada, Weiming Wang, Nobuo Kawaguchi, Masashi Matsuoka, Ryosuke Nakamura

2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018 Vol. 2018-July page： 1752 - 1755 2018

Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera. Reviewed

Shinya Sumikura, Ken Sakurada, Nobuo Kawaguchi, Ryosuke Nakamura

CoRR Vol. abs/1810.11856 2018

仮想空間を利用した空間認識能力の計測手法の提案 Reviewed

嶋田光佑, 廣井慧, 梶克彦, 河口信夫

情報処理学会論文誌 Vol. 59 ( 1 ) page： 150 - 167 2018

Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard

Wang Weimin, Sakurada Ken, Kawaguchi Nobuo

REMOTE SENSING Vol. 9 ( 8 ) 2017.8

FloodEye: Real-time flash flood prediction system for urban complex water flow

Hiroi K., Kawaguchi N.

Proceedings of IEEE Sensors 2017.1

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Proceedings of IEEE Sensors

This study presents a water-level sensor system that has multiple functions: real-time river-level monitoring and high accurate flood prediction for urban complex water flow (CWF) flooding caused by Localized Heavy Rain. Traditional water-level sensors for large-scale river can detect water-level rising, though they have limitations in detecting urban river dyke height to alert about flooding. This is a result of various riverside environmental limitations. Additionally, previous prediction methods are difficult to detect CWF flooding with high accuracy because water rising differ depends on a location's environment. Therefore, we propose a detection scheme for CWF by developing a water-level sensor system that works in various installation environments using infrared image processing with both low installation and operation cost. We implemented a CWF prediction system that produces accurate and early predictions using a Linear Regression (LR) of deep learning approach with data assimilation. Evaluating based on actual installations (over 1,000 days, 13 locations), our system proved to accurately monitor and predict water-level rising after 5 minutes.

DOI： 10.1109/ICSENS.2016.7808626

Scopus

Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets

Enomoto Kenji, Sakurada Ken, Wang Weimin, Fukui Hiroshi, Matsuoka Masashi, Nakamura Ryosuke, Kawaguchi Nobuo

2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) page： 1533-1541 2017

5th Int. Workshop on Human Activity Sensing Corpus and Applications (HASCA): Towards Open-Ended Context Awareness

Kawaguchi Nobuo, Inoue Sozo, Nishio Nobuhiko, Pirttikangas Susanna, Roggen Daniel, Van Laerhoven Kristof

PROCEEDINGS OF THE 2017 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC '17 ADJUNCT) page： 530-536 2017

A Location Estimation Method using Mobile BLE Tags with Tandem Scanners

Urano Kenta, Hiroi Kei, Kaji Katsuhiko, Kawaguchi Nobuo

Compensation Scheme for PDR using Sparse Location and Error Model

Nozaki Junto, Hiroi Kei, Kaji Katsuhiko, Kawaguchi Nobuo

Event.Locky: System of event-data extraction from webpages based onweb mining Reviewed

Chenyi Liao, Kei Hiroi, Katsuhiko Kaji, Ken Sakurada, Nobuo Kawaguchi

Journal of Information Processing Vol. 25 ( 0 ) page： 321 - 330 2017

Language：English Publishing type：Research paper (scientific journal) Publisher：Information Processing Society of Japan

Nearby event data, such as those for exhibitions and sales promotions, may help users spend their free time more efficiently. However, most event data are hidden in millions of webpages, which is very time-consuming for a user to find such data. To address this issue, we use web mining that extracts event data from webpages. In this paper, we propose and discuss the implementation of Event.Locky – a system for extracting event data from webpages in a user-defined area and displaying them to a user in a spatial-temporal structure. Furthermore, we design two core algorithms for event data extraction in Event.Locky: webpage-data-record extraction and event-record classification. The former is used to convert a semi-structural HTML document into processable structured data. The latter filters out non-event data from extracted data records using machine learning. We trained and evaluated Event.Locky with an actual dataset composed by 96 restaurants and shops at Nagoya train station. As a result, our event-classification algorithm achieved an F1 score of 91.61%, an increase of 3.07% from current event-classification algorithms. The combination of our event-classification algorithm and our data-record-extraction algorithm achieved F1 score 83.96% to extract event records from webpages. That increased 1.6% from current algorithm. Finally, we discuss the feasibility of Event.Locky in an actual online environment through the implementation of a demonstration application.

DOI： 10.2197/ipsjjip.25.321

Scopus

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通路に設置した回転する磁石による歩行者の通過検出手法 Reviewed

武島知勲, 梶克彦, 廣井慧, 河口信夫, 神山剛, 太田賢, 稲村浩

情報処理学会論文誌 Vol. 58 ( 1 ) page： 43 - 56 2017

Pedestrian Indoor Positioning Method Using Magnetic Data Reviewed

村田雄哉, 梶克彦, 廣井慧, 河口信夫, 神山剛, 太田賢, 稲村浩

情報処理学会論文誌ジャーナル(Web) Vol. 58 ( 1 ) page： 57 - 67 2017

Dense Optical Flow based Change Detection Network Robust to Difference of Camera Viewpoints. Reviewed

Ken Sakurada, Weimin Wang, Nobuo Kawaguchi, Ryosuke Nakamura

CoRR Vol. abs/1712.02941 2017

A three-dimensional smartphone positioning method using a spinning magnet marker. Reviewed

Kosuke Watanabe, Kei Hiroi, Takeshi Kamiyama, Hiroyuki Sano, Masakatsu Tsukamoto, Masaji Katagiri, Daizo Ikeda, Katsuhiko Kaji, Nobuo Kawaguchi

Tenth International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017, Toyama, Japan, October 3-5, 2017 Vol. 2018-January page： 1 - 7 2017

A Three-Dimensional Smartphone Positioning Method using a Spinning Magnet Marker

Watanabe Kosuke, Hiroi Kei, Kamiyama Takeshi, Sano Hiroyuki, Tsukamoto Masakatsu, Katagiri Masaji, Ikeda Daizo, Kaji Katsuhiko, Kawaguchi Nobuo

2017 TENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK (ICMU) page： 38 - 44 2017

「究極のヒューマンインタフェースの実現を目指して」

河口信夫

知能と情報 Vol. 28 ( 6 ) page： 169 - 169 2016.12

Wi-Fi Human Behavior Analysis and BLE Tag Localization: A Case Study at an Underground Shopping Mall Reviewed

Nobuo Kawaguchi, Kei Hiroi, Atsushi Shionozaki, Masamichi Asukai, Toshimune Nasu, Yu Hashimoto, Takeharu Nakamura, Tetsuya Gotou, Shinsuke Ando

ACM International Conference Proceeding Series Vol. 28- page： 151 - 159 2016.11

Language：English Publishing type：Research paper (international conference proceedings) Publisher：Association for Computing Machinery

Techniques for obtaining customers' behavior (dwell time, count, and flow) in a shopping mall or large exhibit are highly sought-after by organizers or shop owners. Additionally, ways of effectively directing customers from cyber space such as the Web or smartphone apps to physical retail stores are also in high demand. "Online to Offline (O2O) Marketing" has recently been attracting attention to make these a reality. However, the know-how accumulated through "O2O Marketing" is not shared widely as it can be sensitive for business and customer's privacy. In this paper, we provide the knowledge obtained through the demonstration experiments held by the "O2O Digital Marketing Study Group" organized by NPO Lisra at a large underground shopping mall in Nagoya. 250 BLE tags and 12 Wi-Fi scanners were installed in this mall. We also organized a "coupon campaign" to increase the number of participants. We were able to effectively collect visiting customer count measurements via Wi-Fi scanners irrespective of the anonymization of BSSID, as our results showed similar trends collected by optical human detectors inherently installed at the venue. This paper provides preliminary insight into understanding the behaviors of retail shoppers and we believe this is a firm starting point for this area.

DOI： 10.1145/2994374.2994403

Scopus

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PIEM: Path Independent Evaluation Metric for Relative Localization Reviewed

Masaaki Abe, Katsuhiko Kaji, Kei Hiroi, Nobuo Kawaguchi

2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016 page： 1 - 8 2016.11

Language：English Publishing type：Research paper (international conference proceedings) Publisher：Institute of Electrical and Electronics Engineers Inc.

There are many methods for indoor positioning. These methods are divided into the relative localization and absolute localization. In the relative localization, one widely used method is Pedestrian Dead Reckoning (PDR). Relative localization estimates the moving distance, orientation, and height of the pedestrian. However, relative localization has a problem caused by an accumulated error: the longer the path, the worse the accuracy of relative localization. There is another problem in the existing evaluating metrics: they compare only the actual location and the estimated location of the destination. Relative localization also has this evaluation problem. We propose PIEM: Path Independent Evaluation Metric for Relative Localization. PIEM is a path independent evaluation metric, considering the complexity of the path
distance, orientation, and height. Then we evaluate these three factors of relative localization in addition to the position. Our proposed method showed more consistent results for the complexity of the path than the existing methods of relative localization evaluation.

DOI： 10.1109/IPIN.2016.7743587

Scopus

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Papers - KAWAGUCHI, Nobuo