Presentation | 2007-09-27 Human Surveillance by Using Three-dimensional Data Obtained from the Bright Spot Matrix Projection Kazutaka MATSUBARA, Kenji TERADA, Kouzou Suzuki, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposed a method of recognizing the human posture by using coarse three-dimensional data obtained from FG vision sensor. In this system, the coarse three-dimensional data are obtained by projecting the bright spot matrix. The posture are recognized by the normal vectors of detected from the coarse three-dimensional data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Posture Recognition / FG Vision Sensor / Bright Spot / Normal Vector |
Paper # | CQ2007-39,OIS2007-29,IE2007-36 |
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Committee | CQ |
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Conference Date | 2007/9/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Communication Quality (CQ) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Human Surveillance by Using Three-dimensional Data Obtained from the Bright Spot Matrix Projection |
Sub Title (in English) | |
Keyword(1) | Posture Recognition |
Keyword(2) | FG Vision Sensor |
Keyword(3) | Bright Spot |
Keyword(4) | Normal Vector |
1st Author's Name | Kazutaka MATSUBARA |
1st Author's Affiliation | Faculty of Engineering, The University of Tokushima() |
2nd Author's Name | Kenji TERADA |
2nd Author's Affiliation | Faculty of Engineering, The University of Tokushima |
3rd Author's Name | Kouzou Suzuki |
3rd Author's Affiliation | Faculty of Engineering, The University of Tokushima |
Date | 2007-09-27 |
Paper # | CQ2007-39,OIS2007-29,IE2007-36 |
Volume (vol) | vol.107 |
Number (no) | 229 |
Page | pp.pp.- |
#Pages | 6 |
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