Presentation | 2006-10-20 People tracking by fusing different kinds of sensors, floor sensors and accelereation sensors Tetsushi IKEDA, Hiroshi ISHIGURO, Takuichi NISHIMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | To realize accurate tracking of people in the environment, floor sensors can reliably detect current positions, but it is difficult to estimate correct associations between observations and multiple people. To solve the problem, we propose to combine acceleration sensors that are attached to the human body. Since the signals from floor sensors and acceleration sensors synchronize when they observe same person walking, these signals are not independent. The synchrony between the signals is evaluated based on statistical test to find correct association. People tracking examples are shown to confirm the effectiveness of the proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Acceleration sensor / floor sensors / people tracking / sensor integration / sensor network / statistical test |
Paper # | PRMU2006-105 |
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Committee | PRMU |
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Conference Date | 2006/10/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | People tracking by fusing different kinds of sensors, floor sensors and accelereation sensors |
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Keyword(1) | Acceleration sensor |
Keyword(2) | floor sensors |
Keyword(3) | people tracking |
Keyword(4) | sensor integration |
Keyword(5) | sensor network |
Keyword(6) | statistical test |
1st Author's Name | Tetsushi IKEDA |
1st Author's Affiliation | Graduate School of Engineering, Osaka University() |
2nd Author's Name | Hiroshi ISHIGURO |
2nd Author's Affiliation | Graduate School of Engineering, Osaka University |
3rd Author's Name | Takuichi NISHIMURA |
3rd Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST) |
Date | 2006-10-20 |
Paper # | PRMU2006-105 |
Volume (vol) | vol.106 |
Number (no) | 301 |
Page | pp.pp.- |
#Pages | 6 |
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