Presentation | 1997/6/20 Rigid Object Extraction for Security Services Akinori Kosako, Naoki Mukawa, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a method to extracting a dangerous rigid object from sensing images. First, we describe the requirements for extracting the object for security services: (1) an object should be extracted under the varing light condition, (2) the object should be extracted against variation of its pose and against occlusion, (3) it should be extracted from limitted evidence. To overcome (2) we propose a method applying Parameteric Eigenspace to small sub-image regions. It integrates local features based on Bayesian apploach, but it does not satisfy the requirement (3). In this paper we introduce Dempster-Shafer theory. The proposal method exhibits good performance for security scenes. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | object extraction / local feature / Dempster-Shafer's theory / Parametric Eigenspace Representation |
Paper # | PRMU97-51 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 1997/6/20(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Rigid Object Extraction for Security Services |
Sub Title (in English) | |
Keyword(1) | object extraction |
Keyword(2) | local feature |
Keyword(3) | Dempster-Shafer's theory |
Keyword(4) | Parametric Eigenspace Representation |
1st Author's Name | Akinori Kosako |
1st Author's Affiliation | NTT DATA CORPORATION Laboratories for Information Technology() |
2nd Author's Name | Naoki Mukawa |
2nd Author's Affiliation | NTT DATA CORPORATION Laboratories for Information Technology |
Date | 1997/6/20 |
Paper # | PRMU97-51 |
Volume (vol) | vol.97 |
Number (no) | 113 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |