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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI 2024-01-18
13:30
Yamanashi Raki House Kaiji Enhancing Human Skeleton Estimation with Multi-Frame mmWave Radar Point Cloud-based Method
Xintong Shi, Tomoaki Ohtsuki (Keio Univ.) SeMI2023-52
Millimeter-Wave (mmWave) radar-based skeleton estimation has emerged as a focal point in the realm of human motion analy... [more] SeMI2023-52
pp.18-21
PRMU 2019-10-18
10:00
Tokyo   Human Perception of Fluid Viscosity Based on Optical Flow
Wataru Suzuki (NCNP), Atsushi Hiyama (Univ. Tokyo), Wakayo Yamashita (Kagoshima Univ.), Noritaka Ichinohe (NCNP), Takeharu Seno (Kyushu Univ.), Hiroshige Takeichi (RIKEN) PRMU2019-31
A psychophysical experiment was conducted for participants to view and rate viscosity of the simulated fluid in the vide... [more] PRMU2019-31
pp.1-4
PRMU, MI, IPSJ-CVIM [detail] 2019-09-04
16:25
Okayama   Inter-frame interpolation by height constraint for sequential human silhouette images -- Application to forensic gait analysis under low frame-rate condition --
Daisuke Imoto, Kenji Kurosawa, Masakatsu Honma, Ryo Yokota, Manato Hirabayashi, Yoshinori Hawai (NRIPS) PRMU2019-19 MI2019-38
Boundary information is important for defining the shape of an object or a person as a first approximation, and widely u... [more] PRMU2019-19 MI2019-38
pp.43-48
NLP, CCS 2018-06-10
15:50
Kyoto Kyoto Terrsa A study on reproducing probability density function of human balancing motions
Ryoma Omori, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ) NLP2018-50 CCS2018-23
Human balancing motions, such as during quiet standing, stick balancing on the fingertip, and so on, generally exhibit r... [more] NLP2018-50 CCS2018-23
pp.125-129
MW 2017-12-19
13:00
Tokyo   Tracking 1D Hand Motion Directivity by Estimating Doppler Frequency of CSI Information from Commodity Wi-Fi Devices
Nopphon Keerativoranan, Jun-ichi Takada (Titech) MW2017-145
Device-free hand motion tracking in the air becomes an essential tool for today human-computing interaction applications... [more] MW2017-145
pp.19-24
HCGSYMPO
(2nd)
2016-12-07
- 2016-12-09
Kochi Kochi City Culture Plaza (CUL-PORT) Clustering Indoor Space from Observation of Human Motion
Chinatsu Kobayashi, Koh Kakusho (Kwansei Gakuin Univ.), Masaaki Iiyama (Kyoto Univ.)
Recent robots are employed not only in manufacturing industries but also in living environment for supporting daily huma... [more]
SANE 2014-10-23
11:20
Overseas Ramada Plaza Melaka, Malacca, Malaysia Accurate two-dimensional imaging of a human body in motion using multiple ultra-wideband Doppler radar systems in a multipath environment
Hiroki Yamazaki, Takuya Sakamoto, Toru Sato (Kyoto Univ.) SANE2014-81
This paper presents a method of imaging a two-dimensional section of a walking person using multiple ultra-wideband Dopp... [more] SANE2014-81
pp.95-100
SR, AN, USN, RCS
(Joint)
2012-10-19
11:15
Fukuoka Fukuoka univ. A study on Human Trajectory Tracking System by using Infra-red Photo Diode Sensors
Kazunori Kohchiyama, Makoto Kawashima (Chubu Univ.), Kazuhiro Nagase (Asahi Kasei Microdevices) USN2012-48
By introducing newly developed infra-red photo diode sensor, the sophisticated system was proposed for tracking human tr... [more] USN2012-48
pp.113-118
PRMU, HIP 2012-03-30
09:00
Hyogo   Human Motion Tracking using 3D Sparse Template on Kinect Data
Yohei Shinomiya, Hideaki Kato, Takeshi Shakunaga (Okayama Univ.) PRMU2011-264 HIP2011-92
A 3d sparse template tracker is proposed for human motion tracking when
Kinect sensor is available. Motion of the upper... [more]
PRMU2011-264 HIP2011-92
pp.153-158
PRMU, IPSJ-CVIM 2010-11-19
16:50
Fukui   Human Motion Tracking with a Graph Structure in Latent Spaces
Jianfeng Xu, Koichi Takagi, Ryoichi Kawada (KDDI Labs.) PRMU2010-124
This paper presents a novel approach to track human motion with a monocular video. In a conventional tracking system bas... [more] PRMU2010-124
pp.115-120
MVE 2010-10-21
14:30
Hokkaido Tokachi Plaza (Obihiro) 3D human motion tracking from monocular image with hierarchical learning model.
Ayumi Matsumoto, Xiaojun Wu, Kaoru Wakabayashi, Norihiko Matsuura (NTT) MVE2010-56
We propose a robust method to estimate 3D human motion from monocular camera. In recent years, nonlinear and probabilist... [more] MVE2010-56
pp.19-24
PRMU, HIP 2010-03-15
17:30
Kagoshima Kagoshima Univ. Integration of Local and Global Features for Pruning Human Motion Trajectories
Kenta Nishiyuki, Hitoshi Habe, Masatsugu Kidode (NAIST) PRMU2009-271 HIP2009-156
We propose a method to analyze much information stored by cameras off-line, and acquire human motion trajectories. Human... [more] PRMU2009-271 HIP2009-156
pp.223-228
PRMU, MI 2006-05-25
16:25
Aichi Aichi Prefectural University [Special Talk] Human image processing technologies and its applications
Osamu Hori (Toshiba)
This paper describes human image processing technologies such as human face detection, tracking and identification as we... [more] PRMU2006-19 MI2006-19
pp.107-112
 Results 1 - 13 of 13  /   
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