Presentation | 2009-08-31 Object Detection in Images With Cluttered Background by Using Local Features and Their Configuration Martin KLINKIGT, Koichi KISE, Heiko MAUS, Andreas DENGEL, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In computer vision object detection is dealing with the problem to find certain objects in an image. Under controlled conditions the results of current systems are reliable. The absence of background clutter is such a condition. Problems arise if these conditions do not hold. In this paper we propose a method for overcoming the problem of background clutter by using a sensitive voting for objects and taking into account the position of local features. In an evaluation our proposed method clearly outperforms a naive object voting, by returning for 64% of the images the correct object compared to 4%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | PCA-SIFT / Shape context / Hough transform / Implicit shape model / Constellation model |
Paper # | PRMU2009-65 |
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Committee | PRMU |
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Conference Date | 2009/8/24(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Object Detection in Images With Cluttered Background by Using Local Features and Their Configuration |
Sub Title (in English) | |
Keyword(1) | PCA-SIFT |
Keyword(2) | Shape context |
Keyword(3) | Hough transform |
Keyword(4) | Implicit shape model |
Keyword(5) | Constellation model |
1st Author's Name | Martin KLINKIGT |
1st Author's Affiliation | Department of Computer Science and Intelligent Systems, Osaka Prefecture University() |
2nd Author's Name | Koichi KISE |
2nd Author's Affiliation | Department of Computer Science and Intelligent Systems, Osaka Prefecture University |
3rd Author's Name | Heiko MAUS |
3rd Author's Affiliation | German Research Center for Artificial Intelligence |
4th Author's Name | Andreas DENGEL |
4th Author's Affiliation | German Research Center for Artificial Intelligence |
Date | 2009-08-31 |
Paper # | PRMU2009-65 |
Volume (vol) | vol.109 |
Number (no) | 182 |
Page | pp.pp.- |
#Pages | 6 |
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