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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 97件中 1~20件目  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-05
11:35
Fukuoka Kyushu Institute of Technology Pedestrian trajectory prediction considering consistent movement of surrounding people
Kei Horiuchi, Yoshihiro Maeda (Tokyo Univ. of Science), Daisuke Sugimura (Tsuda Univ.), Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2019-18 IE2019-100 MVE2019-39
In this paper, we propose a pedestrian trajectory prediction method considering the consistent movement of surrounding p... [more] IMQ2019-18 IE2019-100 MVE2019-39
pp.23-26
NC, MBE
(Joint)
2020-03-04
10:45
Tokyo University of Electro Communications Classification of caretaker's trajectory: A time-series classifier approach
Yui Ichikawa (UEC), Daisuke Ichimura (UEC/Oouchi Hosp.), Rie Asada, Tadashi Yamazaki (UEC) NC2019-78
Along with the aging population, Japanese caretaking industry is facing a severe labor shortage. Utilizing data could im... [more] NC2019-78
pp.15-20
SANE 2020-01-31
13:10
Nagasaki Nagasaki Prefectural Art Museum A Method for Correlating an Aircraft Trajectory with Flight Plan Information for Estimating an Air Traffic Control Difficulty Value
Sakae Nagaoka, Mark Brown (ENRI/MPAT) SANE2019-94
Recent modernization of air traffic management systems promotes aviation towards trajectory based operations and perform... [more] SANE2019-94
pp.55-60
HCGSYMPO
(2nd)
2019-12-11
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) A preliminary analysis of the interactions of otters based on the movement trajectories.
Yuto Toda, Yuki Kobori, Ryota Amano, Shogo Denta (O.E.C.U), Midori Okita, Kosuke Sawa (Senshu Univ.), Hideyuki Takahashi (Osaka Univ.), Kiyoko Onda, Doi Hiroyuki (Kaiyukan), Masashi Komori (O.E.C.U)
We investigated the mutual influences among the movements of three Asian small-clawed otters (Aonyx cinerea) in the zoo.... [more]
PRMU 2019-10-18
16:15
Tokyo   Recovering Dynamic Trajectory from a handwritten character image using a Deep Neural Network
Tsubasa Nakamura, Nguyen Tuan Cuong, Masaki Nakagawa (TUAT) PRMU2019-41
This paper presents a method to recover a dynamic trajectory from a handwritten character image using a deep neural netw... [more] PRMU2019-41
pp.53-58
CS 2019-07-04
09:00
Kagoshima Amami City Social Welfare Center An Approximation Scheme for Better Visualization of Trajectory Mapping with BLE Beacons in Libraries
Ryusei Goto, Hiromu Asahina, Kentaroh Toyoda, Iwao Sasase (Keio Univ.) CS2019-16
To find out the bottleneck in the college library, it is necessary to estimate users' trajectory when searching books an... [more] CS2019-16
pp.19-24
PRMU, BioX 2019-03-18
16:10
Tokyo   [Invited Talk] Geometrically Consistent Pedestrian Trajectory Extraction for Gait Recognition (BTAS 2018)
Yasushi Makihara, Gakuto Ogi, Yasushi Yagi (Osaka Univ.) BioX2018-66 PRMU2018-170
In the gait recognition community, silhouette-based gait representations such as gait energy image have been widely empl... [more] BioX2018-66 PRMU2018-170
p.207
MBE, NC
(Joint)
2018-11-22
13:55
Kyoto   Individuality Extraction from Flick Action Trajectory for Personal Identification on Smartphones
Masashi Sekikawa, Yuta Ozawa, Kohei Minemura, Masaki Kyoso (TCU) MBE2018-43
Latest smartphones which have many functions deal with many personal information. Therefore, advanced security measures ... [more] MBE2018-43
pp.35-39
SANE 2018-11-09
08:30
Overseas China (Xuchang) A Concept of Automatic Trajectory Modification for Mitigating Complex Air Traffic Situations with a High Difficulty Index Value
Sakae Nagaoka, Hiroko Hirabayashi, Mark Brown (ENRI/MPAT) SANE2018-80
Reviewing system performance is an essential part of air traffic management (ATM), and requires appropriate performance ... [more] SANE2018-80
pp.121-126
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
13:40
Fukuoka   [Short Paper] Stroke Recovery of Handwritten Chinese Character using Fully Convolutional Networks
Wang Yu Jung, Motoharu Sonogashira (Kyoto Univ.), Atsushi Hashimoto (Omron SINICX), Masaaki Iiyama (Kyoto Univ.) PRMU2018-62 IBISML2018-39
In this paper, we propose a method to recover strokes from offline handwritten Chinese characters. The proposed method e... [more] PRMU2018-62 IBISML2018-39
pp.157-162
MW, WPT 2018-04-27
13:05
Tokyo Kikai-Shinko-Kaikan Building Comparison of Soft-Starting Methods for Suppressing Start-up Current Overshoot in Wireless Power Transfer via Magnetic Resonance Coupling
Katsuhiro Hata, Takehiro Imura, Hiroshi Fujimoto, Yoichi Hori (Univ. of Tokyo) WPT2018-1 MW2018-1
Although in-motion wireless charging of electric vehicles has attracted a great deal of attention, its transient charact... [more] WPT2018-1 MW2018-1
pp.1-4
MBE, NC
(Joint)
2018-03-13
14:40
Tokyo Kikai-Shinko-Kaikan Bldg. Virtual trajectory control based on repetitive calculation
Takehiro Suzuki (Nagoya Univ.), Takahiro Kagawa (Aichi Tech.), Yoji Uno (Nagoya Univ.) NC2017-75
A virtual trajectory control has been proposed as a model of human movement control. It is important in this control met... [more] NC2017-75
pp.45-50
SP, ASJ-H 2018-01-20
14:55
Tokyo The University of Tokyo [Poster Presentation] TRAJECTORY TRAINING CONSIDERING POWER FOR SPEECH SYNTHESIS BASED ON NEURAL NETWORKS
Ryohei Funato, Kei Hashimoto, keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2017-74
In statistical parametric speech synthesis, a relation between acoustic features and linguistic features is modeled by s... [more] SP2017-74
pp.43-48
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-18
09:30
Osaka   Trajectory semantic segmentation based on behavior models
Daisuke Ogawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.) PRMU2017-112 MVE2017-33
In many cases, such as trajectories clustering and classification, we often divide a trajectory into segments as preproc... [more] PRMU2017-112 MVE2017-33
pp.1-7
SANE 2017-11-24
11:10
Overseas Malaysia (Borneo Island) Predicting Trajectories with Course Change Points for Calculating Proximity-based Air Traffic Control Difficulty Indices
Sakae Nagaoka, Mark Brown (ENRI/MPAT) SANE2017-79
In air traffic management, performance indices such as safety and complexity are required to be developed. As such an in... [more] SANE2017-79
pp.87-92
SSS 2017-06-20
13:40
Tokyo   Comparison of Proximity Cognition Thresholds with ATC Difficulty Indices Using Flight Plan Information
Sakae Nagaoka, Hiroko Hirabayashi, Mark Brown (ENRI/MPAT) SSS2017-8
From the perspective of safety assurance, indices on air traffic control difficulty is required to identify complex traf... [more] SSS2017-8
pp.5-8
PRMU, BioX 2017-03-20
10:50
Aichi   Loitering Detection using 3D Trajectory Clustering
Yuri Miyagi (Ochanomizu Univ.), Masaki Onishi (AIST), Takayuki Itoh (Ochanomizu Univ.) BioX2016-39 PRMU2016-202
We have to deal with loitering of dementia patients since the aging of Japan's population is advancing. Prevention of lo... [more] BioX2016-39 PRMU2016-202
pp.35-40
MBE, NC
(Joint)
2017-03-14
10:15
Tokyo Kikai-Shinko-Kaikan Bldg. Adjustment of virtual trajectory in repetitive control of a multi-link arm
Yusuke Oshima, Takahiro Kagawa, Yoji Uno (Nagoya Univ.) NC2016-75
It is difficult to select suitable gain in conventional feedback control. The value of feedback gain is sometimes determ... [more] NC2016-75
pp.67-72
MBE 2017-01-28
11:35
Fukuoka Kyushu University Evaluation of the sawing skill using three-axis acceleration and angular velocity sensor -- Investigation of the trajectory and angle of the saw blade --
Akito Koga (Kumamoto Univ.), Kazuharu Hashitsume (Shimane Univ.), Tomohiko Igasaki (Kumamoto Univ.) MBE2016-77
Currently, due to the decreasing and aging of the expert woodworkers, their skills are faced with the threat of disappea... [more] MBE2016-77
pp.41-45
SANE 2017-01-27
10:20
Nagasaki Nagasaki Prefectural Art Museum A Study on an Air Traffic Control Difficulty Index Based on Controller's Proximity Recognition Trials
Sakae Nagaoka, Hiroko Hirabayashi, Mark Brown (ENRI/MPAT) SANE2016-108
The authors have been proposed a difficulty index of air traffic control based on trajectory information of aircraft. In... [more] SANE2016-108
pp.71-76
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