Presentation | 2014-12-19 Count The Number of Same Shape Objects in A Snap Image using SOM Yuriko TSUNODA, Kouichiro HAYASHI, Hideaki KAWANO, Hiroshi MAEDA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Currently, autonomous robots are studied in various fields. To robot act autonomously, it is important to recognize the object number from the surrounding environment. Thus, simple and easy way to enumerate the objects automatically has been expected. In this study we propose a method to recognize the number of objects in image. To achieve robustness against spatial transformation, such as translation, rotation, and scaling, scale-invariant feature transform (SIFT) is employed as a feature. In order to count the number of objects from feature, we use cluster analysis by SOM. To show the effectiveness, the proposed method is applied to an image containing everyday objects. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | self-organizing feature map / cluster analysis / SIFT features / object counting |
Paper # | SIS2014-84 |
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Committee | SIS |
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Conference Date | 2014/12/11(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 | Smart Info-Media Systems (SIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Count The Number of Same Shape Objects in A Snap Image using SOM |
Sub Title (in English) | |
Keyword(1) | self-organizing feature map |
Keyword(2) | cluster analysis |
Keyword(3) | SIFT features |
Keyword(4) | object counting |
1st Author's Name | Yuriko TSUNODA |
1st Author's Affiliation | Kyushu Institute of Technology() |
2nd Author's Name | Kouichiro HAYASHI |
2nd Author's Affiliation | Kyushu Institute of Technology |
3rd Author's Name | Hideaki KAWANO |
3rd Author's Affiliation | Kyushu Institute of Technology |
4th Author's Name | Hiroshi MAEDA |
4th Author's Affiliation | Kyushu Institute of Technology |
Date | 2014-12-19 |
Paper # | SIS2014-84 |
Volume (vol) | vol.114 |
Number (no) | 370 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |