Presentation | 2007-09-04 Study of Different Image Features Used for Recognizing Unknown Person's Activity Based on Tensor Decomposition Approach Acep Irawan, Yingdi XIE, Jun OHYA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a method for recognizing an unknown person' action from a video sequence, where the unknown person is defined as a person who is not included in the database (tensor) used for the recognition process. We have developed a tensor decomposition based method, but that method used only motion capture data. The main motivation of this paper is to replace the motion capture data by image feature data and clarify which image features are useful. This paper tests three image features as well as their combinations. Experimental results using synthesized image sequences present the effectiveness of the method and clarify the useful image features. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | human motion / action recognition / tensor decomposition |
Paper # | PRMU2007-85,HIP2007-94 |
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Committee | PRMU |
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Conference Date | 2007/8/27(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) | Study of Different Image Features Used for Recognizing Unknown Person's Activity Based on Tensor Decomposition Approach |
Sub Title (in English) | |
Keyword(1) | human motion |
Keyword(2) | action recognition |
Keyword(3) | tensor decomposition |
1st Author's Name | Acep Irawan |
1st Author's Affiliation | () |
2nd Author's Name | Yingdi XIE |
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3rd Author's Name | Jun OHYA |
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Date | 2007-09-04 |
Paper # | PRMU2007-85,HIP2007-94 |
Volume (vol) | vol.107 |
Number (no) | 206 |
Page | pp.pp.- |
#Pages | 6 |
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