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Committee Date Time Place Paper Title / Authors Abstract Paper #
ICD, CPSY 2015-12-17
12:55
Kyoto Kyoto Institute of Technology [Invited Talk] A Study on Sensing System for Human Activity Recognition
Yohei Nakata (Panasonic Corp.) ICD2015-66 CPSY2015-79
This paper presents a study on sensing system for human activity recognition, which can support elderly people and famil... [more] ICD2015-66 CPSY2015-79
pp.19-23
IBISML 2014-03-07
15:10
Nara Nara Women's University Effective interest point detection and clustering method for action recognition
Kazuaki Aihara, Terumasa Aoki (Tohoku Univ) IBISML2013-80
In this paper, we propose the Motion dense sampling, which detects very informative interest points from video frames.
... [more]
IBISML2013-80
pp.95-102
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
11:00
Tokyo   Multiple-person activity recognition with group relationships
Shigeyuki Odashima, Masamichi Shimosaka, Takuhiro Kaneko, Rui Fukui, Tomomasa Sato (The Univ. of Tokyo) PRMU2012-44 IBISML2012-27
In this paper, we propose an activity localization method with contextual information of multiple person relationships.
... [more]
PRMU2012-44 IBISML2012-27
pp.127-132
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