Presentation 2012/6/22
Monte Carlo-based bi-directional pedestrian counting with compound-eye binary sensors
Shuto FUJII, Yoshiaki TANIGUCHI, Go HASEGAWA, Hirotaka NAKANO,
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Abstract(in English) In this report, we propose a method for estimating the number of pedestrians under the situation that a number of pedestrians move bidirectionally such as in a corridor. In the proposed method, a compound-eye sensor is constructed on a ceiling by closely placing two binary sensors whose sensing regions are partly overlapping, and its sensor output history is gathered to a monitoring server. A number of Monte Carlo simulations are conducted at the server, and a simulation scenario that has the smallest difference from the output history of compound-eye sensor is selected to estimate the number of pedestrians. Through simulation evaluations, it was shown that the estimation accuracy is improved by up to 49 % compared to an existing method in crowded situations.
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Keyword(in English) pedestrian counting / sensor network / binary sensor / compound-eye sensor system / Monte Carlo
Paper # PRMU2012-23,NLC2012-3
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Conference Information
Committee PRMU
Conference Date 2012/6/22(1days)
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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) Monte Carlo-based bi-directional pedestrian counting with compound-eye binary sensors
Sub Title (in English)
Keyword(1) pedestrian counting
Keyword(2) sensor network
Keyword(3) binary sensor
Keyword(4) compound-eye sensor system
Keyword(5) Monte Carlo
1st Author's Name Shuto FUJII
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Yoshiaki TANIGUCHI
2nd Author's Affiliation Cybermedia Center, Osaka University
3rd Author's Name Go HASEGAWA
3rd Author's Affiliation Cybermedia Center, Osaka University
4th Author's Name Hirotaka NAKANO
4th Author's Affiliation Cybermedia Center, Osaka University
Date 2012/6/22
Paper # PRMU2012-23,NLC2012-3
Volume (vol) vol.112
Number (no) 111
Page pp.pp.-
#Pages 6
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