Presentation | 2012-10-04 People Re-identification Using Local Similarity Estimation Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose an efficient and robust approach for multiple-shot people re-identification. To compare the people's appearance instances of image set, we explore the multimodal property of people appearance distribution and estimate the similarity in the local neighbours of the appearance instances. An energy-based loss function is proposed to measure the distance as the similarity in feature space. This loss function favors close distances to support the people with high similarity and penalizes large distances as well as overlap between neighbours to exclude the people with low similarity. Experiments on the public datasets show significant improvements over previous reports. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Similarity Estimation / People Re-identification / Energy-based Loss Function |
Paper # | PRMU2012-52 |
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Committee | PRMU |
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Conference Date | 2012/9/27(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | People Re-identification Using Local Similarity Estimation |
Sub Title (in English) | |
Keyword(1) | Similarity Estimation |
Keyword(2) | People Re-identification |
Keyword(3) | Energy-based Loss Function |
1st Author's Name | Guanwen Zhang |
1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
2nd Author's Name | Jien Kato |
2nd Author's Affiliation | Graduate School of Information Science, Nagoya University |
3rd Author's Name | Yu Wang |
3rd Author's Affiliation | Graduate School of Information Science, Nagoya University |
4th Author's Name | Kenji Mase |
4th Author's Affiliation | Graduate School of Information Science, Nagoya University |
Date | 2012-10-04 |
Paper # | PRMU2012-52 |
Volume (vol) | vol.112 |
Number (no) | 225 |
Page | pp.pp.- |
#Pages | 5 |
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