Presentation 2004-12-06
A Study of Multi-Sensor Correlation Toward Abnormality Recognition
Takashi HATTORI, Yoshinari KAMEDA, Yuichi OHTA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, recent researches of human action recognition and abnormality recognition in a daily scene are surveyed and our preliminary results and discussions are presented. The main concern of this paper is to investigate correlation of multi-sensor outputs of three kinds of sensors; i.e., networked video cameras, microphones, and near-range sensors for recognizing human actions in a scene. The results of our preliminary experiment indicate that basic features are sufficiently useful for the purpose if multiple sensors are adequately utilized.
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Keyword(in English) Sensor fusion / Scene recognition / Action recognition / ubiquitous
Paper # MVE2004-43
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Conference Information
Committee MVE
Conference Date 2004/11/29(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Multi-Sensor Correlation Toward Abnormality Recognition
Sub Title (in English)
Keyword(1) Sensor fusion
Keyword(2) Scene recognition
Keyword(3) Action recognition
Keyword(4) ubiquitous
1st Author's Name Takashi HATTORI
1st Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba()
2nd Author's Name Yoshinari KAMEDA
2nd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba
3rd Author's Name Yuichi OHTA
3rd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba
Date 2004-12-06
Paper # MVE2004-43
Volume (vol) vol.104
Number (no) 489
Page pp.pp.-
#Pages 7
Date of Issue