研究者詳細 - 河口　信夫

論文 - 河口　信夫

分割表示 553 件中 161 - 180 件目／全件表示 >>

An End-to-End BLE Indoor Location Estimation Method Using LSTM

Urano Kenta, Hiroi Kei, Yonezawa Takuro, Kawaguchi Nobuo

2019 TWELFTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK (ICMU) 2019年

A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles

Narksri Patiphon, Takeuchi Eijiro, Ninomiya Yoshiki, Morales Yoichi, Akai Naoki, Kawaguchi Nobuo

2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) 頁： 497-504 2018年

Activity Recognition Using Dual-ConvLSTM Extracting Local and Global Features for SHL Recognition Challenge

Yuki Yuta, Nozaki Junto, 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) 頁： 1643-1651 2018年

IMAGE TRANSLATION BETWEEN SAR AND OPTICAL IMAGERY WITH GENERATIVE ADVERSARIAL NETS

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

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM 頁： 1752-1755 2018年

Image-Matching Based Identification of Store Signage Using Web-Crawled Information Open Access

Liao Chenyi, Wang Weimin, Sakurada Ken, Kawaguchi Nobuo

IEEE ACCESS 6 巻頁： 45590-45605 2018年

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

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

回転磁石マーカに基づくスマートフォン位置推定査読有り Open Access

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) 59 巻 ( 1 ) 頁： 138 - 149 2018年

Image Translation Between Sar and Optical Imagery with Generative Adversarial Nets. 査読有り

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 2018-July 巻頁： 1752 - 1755 2018年

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：IEEE

In this paper, we propose a method for the translation from Synthetic Aperture Radar (SAR) to optical images using conditional Generative Adversarial Networks (cGANs). Satellite images have been widely utilized for various purposes, such as natural environment monitoring (pollution, forest or rivers), transportation improvement and prompt emergency response to disasters. However, the obscurity caused by clouds leads to unstable monitoring of the ground situation while using the optical camera. Images captured by a longer wavelength are introduced to reduce the effects of clouds. In particular, SAR images are known to be nearly unaffected by clouds and are often used for stably observing the ground situation. On the other hand, SAR images have lower spatial resolution and visibility than optical images. Therefore, we propose a deep neural network that generates optical images from SAR images. Finally, we confirm the feasibility of the proposed network on a dataset consisting of optical images and the corresponding SAR images.

DOI： 10.1109/IGARSS.2018.8518719

Scopus

researchmap

Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera. 査読有り

Shinya Sumikura, Ken Sakurada, Nobuo Kawaguchi, Ryosuke Nakamura

CoRR abs/1810.11856 巻 2018年

仮想空間を利用した空間認識能力の計測手法の提案査読有り Open Access

嶋田光佑, 廣井慧, 梶克彦, 河口信夫

情報処理学会論文誌 59 巻 ( 1 ) 頁： 150 - 167 2018年

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

Wang Weimin, Sakurada Ken, Kawaguchi Nobuo

REMOTE SENSING 9 巻 ( 8 ) 2017年8月

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

Hiroi K., Kawaguchi N.

Proceedings of IEEE Sensors 2017年1月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：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 Open Access

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) 頁： 1533-1541 2017年

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) 頁： 530-536 2017年

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 査読有り

Liao C., Hiroi K., Kaji K., Sakurada K., Kawaguchi N.

Journal of Information Processing 25 巻 ( 0 ) 頁： 321 - 330 2017年

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Journal of Information Processing

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

CiNii Research

researchmap

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査読有り Open Access

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 58 巻 ( 1 ) 頁： 43 - 56 2017年

歩行時の磁気センシングデータを利用した屋内位置推定手法査読有り Open Access

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) 58 巻 ( 1 ) 頁： 57 - 67 2017年

Dense Optical Flow based Change Detection Network Robust to Difference of Camera Viewpoints. 査読有り

Ken Sakurada, Weimin Wang, Nobuo Kawaguchi, Ryosuke Nakamura

CoRR abs/1712.02941 巻 2017年

　前のページ - 次のページ　

<河口 信夫>

論文 - 河口 信夫

<河口　信夫>

論文 - 河口　信夫