| Presentation | 2011-03-11 Person Re-identification at a Room Entrance by Adaptive Feature Selection Takuya HONDA, Daisuke DEGUCHI, Tomokazu TAKAHASHI, Ichiro IDE, Hiroshi MURASE, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a method to re-identify people at a room entrance from a surveillance video. The method allows us to re-identify people in high precision by adaptively selecting features according to the individuals in the room. Recently in the field of a video analysis for marketing, flow analysis of customers is important. It is used in a place such as convenience stores and museums, where an arbitrary number of customers enter and exit ; For example, it can be used for measuring the mean time of stay by monitoring the entrance. Such information can be obtained by re-identifying the individuals (entering and exiting the room) using color features. However, in the case that multiple individuals are dressed in similar colors, it is difficult to re-identify them correctly with only the color features. Therefore, focusing on the difference in local features, the person re-identification accuracy is improved by selecting features effective for re-identification per individual. In this paper, we show the experimental results for evaluating adaptive feature selection. We also measured the number of entry/exit events, and the time of stay for each individual from a 8 days video by using the proposed method. From these, the effectiveness of the proposed method was confirmed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Person Re-identification / Surveillance camera / Image feature / Time of stay |
| Paper # | PRMU2010-279 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2011/3/3(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Person Re-identification at a Room Entrance by Adaptive Feature Selection |
| Sub Title (in English) | |
| Keyword(1) | Person Re-identification |
| Keyword(2) | Surveillance camera |
| Keyword(3) | Image feature |
| Keyword(4) | Time of stay |
| 1st Author's Name | Takuya HONDA |
| 1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
| 2nd Author's Name | Daisuke DEGUCHI |
| 2nd Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 3rd Author's Name | Tomokazu TAKAHASHI |
| 3rd Author's Affiliation | Graduate School of Information Science, Nagoya University:Faculty of Economics and Information, Gifu Shotoku Gakuen University |
| 4th Author's Name | Ichiro IDE |
| 4th Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 5th Author's Name | Hiroshi MURASE |
| 5th Author's Affiliation | Graduate School of Information Science, Nagoya University |
| Date | 2011-03-11 |
| Paper # | PRMU2010-279 |
| Volume (vol) | vol.110 |
| Number (no) | 467 |
| Page | pp.pp.- |
| #Pages | 6 |
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