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 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
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Conference Information
Committee TL
Conference Date 2006/2/17(1days)
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Paper Information
Registration To Thought and Language (TL)
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