Presentation | 2005-11-25 Abnormality Extraction by Utilizing Video and Audio Sensors toward Human Action Recognition Takashi HATTORI, Yoshinari KAMEDA, Yuichi OHTA, |
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Abstract(in English) | A stable and robust human action recognition is necessary for realization of high-value added living environments. Our purpose is to develop a sensing system for human action recognition by utilizing a number of multimodal sensors. In this paper, we describe a method to extract significant data segments from continuous video and audio data that include noise of daily lives. This method extracts the significant data segments by adaptive background model that can deal with stationary and ambient noise. We also discuss criteria to determine resolution of feature vector units so that they can be easily utilized for human action recognition in sensor fusion approach. We apply this method to some basic actions in an experimental environment. Finally, we also discuss adequate definition of similarity between the time-series data that are extracted by our method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Sensor fusion / stationary noise / action recognition / adaptive background model |
Paper # | MVE2005-51 |
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Committee | MVE |
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Conference Date | 2005/11/17(1days) |
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Registration To | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Abnormality Extraction by Utilizing Video and Audio Sensors toward Human Action Recognition |
Sub Title (in English) | |
Keyword(1) | Sensor fusion |
Keyword(2) | stationary noise |
Keyword(3) | action recognition |
Keyword(4) | adaptive background model |
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 | 2005-11-25 |
Paper # | MVE2005-51 |
Volume (vol) | vol.105 |
Number (no) | 433 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |