Presentation 2007-07-20
A Borrowing-lending Management Platform using Object Detection from Photographs
Takayuki KATO, Yasuto NAKANISHI, Takashi HATTORI, Tatsuya HAGINO,
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Abstract(in English) In this paper, we propose a new method for borrowing-lending support system. Our method is to use photographs and e-mails by cellular phones and describe the person and goods by images. The method realizes that the system manages unspecified objects and deals them as entities, which conventional methods cannot achieve. Especially, we propose a method to register the information of a borrowing-lending event easily and safely by cellular phones. By restricting the object and composition of the photographs, the system can obtain the images of the person and goods from one photograph. We also certify the flexibility of the restriction by showing that however extreme the size of the goods is, the form of the system functions correctly by users' devices of photography.
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Keyword(in English) Goods Management / Borrowing and Lending / Photograph / Object Detection / Pose
Paper # USN2007-31
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Committee USN
Conference Date 2007/7/12(1days)
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Registration To Ubiquitous and Sensor Networks(USN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Borrowing-lending Management Platform using Object Detection from Photographs
Sub Title (in English)
Keyword(1) Goods Management
Keyword(2) Borrowing and Lending
Keyword(3) Photograph
Keyword(4) Object Detection
Keyword(5) Pose
1st Author's Name Takayuki KATO
1st Author's Affiliation Keio University Graduate School of Media and Governance()
2nd Author's Name Yasuto NAKANISHI
2nd Author's Affiliation Keio University Faculty of Environment and Information Studies
3rd Author's Name Takashi HATTORI
3rd Author's Affiliation Keio University Faculty of Environment and Information Studies
4th Author's Name Tatsuya HAGINO
4th Author's Affiliation Keio University Faculty of Environment and Information Studies
Date 2007-07-20
Paper # USN2007-31
Volume (vol) vol.107
Number (no) 152
Page pp.pp.-
#Pages 6
Date of Issue