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 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.
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Keyword(in English) Acceleration sensor / floor sensors / people tracking / sensor integration / sensor network / statistical test
Paper # PRMU2006-105
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Conference Information
Committee PRMU
Conference Date 2006/10/13(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
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
Sub Title (in English)
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
Date of Issue