Presentation | 2006-02-24 High Precision Gait Recognition Using Large Scale PC Cluster Satoshi ITO, Yuuki HORITA, Kenji KANEDA, Takuya NANRI, Yasuyuki SHIMOHATA, Kenjiro TAURA, Mihoko OTAKE, Tomomasa SATO, Nobuyuki OTSU, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A good video surveillance system needs a high-precise gait recognition method. As such a method, a gait recognition method using cubic higher-order local auto-correlation (CHLAC) features has been proposed. However, in this method a recognition rate is decreased in the case of recognizing various sizes of objects. To overcome this problem, it can be considered to increase the number of CHLAC features, but this requires huge computation time. Our method made it possible to use a larger number of CHLAC features than a traditional CHLAC method by using parallel computing techniques. We applied this method to a data set, which contains objects whose scales change dynamically, and achieved a higher recognition rate than that of the traditional CHLAC method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Motion recognition / Cubic higher-order local auto-correlation feature / PC cluster / Parallelization |
Paper # | TL2005-82,PRMU2005-217 |
Date of Issue |
Conference Information | |
Committee | TL |
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Conference Date | 2006/2/17(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
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Paper Information | |
Registration To | Thought and Language (TL) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | High Precision Gait Recognition Using Large Scale PC Cluster |
Sub Title (in English) | |
Keyword(1) | Motion recognition |
Keyword(2) | Cubic higher-order local auto-correlation feature |
Keyword(3) | PC cluster |
Keyword(4) | Parallelization |
1st Author's Name | Satoshi ITO |
1st Author's Affiliation | Graduate School of Information Science and Technology, University of Tokyo() |
2nd Author's Name | Yuuki HORITA |
2nd Author's Affiliation | Graduate School of Information Science and Technology, University of Tokyo |
3rd Author's Name | Kenji KANEDA |
3rd Author's Affiliation | Graduate School of Information Science and Technology, University of Tokyo |
4th Author's Name | Takuya NANRI |
4th Author's Affiliation | Graduate School of Information Science and Technology, University of Tokyo |
5th Author's Name | Yasuyuki SHIMOHATA |
5th Author's Affiliation | Graduate School of Information Science and Technology, University of Tokyo |
6th Author's Name | Kenjiro TAURA |
6th Author's Affiliation | Graduate School of Information Science and Technology, University of Tokyo |
7th Author's Name | Mihoko OTAKE |
7th Author's Affiliation | Division of Project Coordination, University of Tokyo |
8th Author's Name | Tomomasa SATO |
8th Author's Affiliation | Graduate School of Information Science and Technology, University of Tokyo |
9th Author's Name | Nobuyuki OTSU |
9th Author's Affiliation | Graduate School of Information Science and Technology, University of Tokyo:National Institute of Advanced Industrial Science and Technology |
Date | 2006-02-24 |
Paper # | TL2005-82,PRMU2005-217 |
Volume (vol) | vol.105 |
Number (no) | 613 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |