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 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.
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Keyword(in English) human motion / action recognition / tensor decomposition
Paper # PRMU2007-85,HIP2007-94
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Conference Information
Committee PRMU
Conference Date 2007/8/27(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
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
2nd Author's Affiliation
3rd Author's Name Jun OHYA
3rd Author's Affiliation
Date 2007-09-04
Paper # PRMU2007-85,HIP2007-94
Volume (vol) vol.107
Number (no) 206
Page pp.pp.-
#Pages 6
Date of Issue