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 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.
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Keyword(in English) Posture Recognition / FG Vision Sensor / Bright Spot / Normal Vector
Paper # CQ2007-39,OIS2007-29,IE2007-36
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Conference Information
Committee CQ
Conference Date 2007/9/20(1days)
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Registration To Communication Quality (CQ)
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
Date of Issue