論文

査読有り
2017年

Crowd and Event Detection by Fusion of Camera Images and Micro Blogs

2017 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS)
  • Sohei Kojima
  • ,
  • Akira Uchiyama
  • ,
  • Masumi Shirakawa
  • ,
  • Akihito Hiromori
  • ,
  • Hirozumi Yamaguchi
  • ,
  • Teruo Higashino

開始ページ
213
終了ページ
218
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/PERCOMW.2017.7917560
出版者・発行元
IEEE

In this paper, we propose a new application to infer the "cause" of human crowd (scheduled events, sudden accidents and so on) by mobile crowd sensing. The idea is that we leverage our phone-camera-based, crowd-sourced people counting to firstly localize an event with human crowds, and then extract keywords that spatiotemporally correspond to the event from micro blogs such as tweets. Such keywords are further analyzed to find out the most-frequent ones, which can be used to characterize the detected human-crowd event and to estimate its cause. We demonstrate our prototype design using real camera images and tweets to automatically detect the Halloween street party in Tokyo and estimate its human density.

リンク情報
DOI
https://doi.org/10.1109/PERCOMW.2017.7917560
DBLP
https://dblp.uni-trier.de/rec/conf/percom/KojimaUSHYH17
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000411208400053&DestApp=WOS_CPL
URL
http://dblp.uni-trier.de/db/conf/percom/percomw2017.html#conf/percom/KojimaUSHYH17
ID情報
  • DOI : 10.1109/PERCOMW.2017.7917560
  • ISSN : 2474-2503
  • DBLP ID : conf/percom/KojimaUSHYH17
  • Web of Science ID : WOS:000411208400053

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