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A study on statistical feature extraction from three-dimensional spatio-temporal data

Research Project

Project/Area Number 21700214
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeSingle-year Grants
Research Field Perception information processing/Intelligent robotics
Research InstitutionNational Institute of Advanced Industrial Science and Technology

Principal Investigator

KOBAYASHI Takumi  独立行政法人産業技術総合研究所, 情報技術研究部門, 研究員 (30443188)

Project Period (FY) 2009 – 2011
Project Status Completed (Fiscal Year 2011)
Budget Amount *help
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2011: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2010: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2009: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords特徴抽出 / 時空間データ / 動画像認識 / 画像認識 / パターン認識 / 3次元形状認識
Research Abstract

In this study, we have proposed novel methods to extract features from spatio-temporal data for motion/image classifications. Those methods are based on co-occurrences of primitive descriptors in local neighborhoods in the spatio-temporal domain. By employing as the descriptors the space-time gradients and local feature vectors, we obtain the effective features to describe motions and images. In the experiments on motion/image classifications, the proposed methods exhibited favorable performances.

Report

(4 results)
  • 2011 Annual Research Report   Final Research Report ( PDF )
  • 2010 Annual Research Report
  • 2009 Annual Research Report
  • Research Products

    (5 results)

All 2012 2010 2009

All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (4 results)

  • [Journal Article] Motion recognition using local auto-correlation of space-time gradients2012

    • Author(s)
      小林匠、大津展之
    • Journal Title

      Pattern Recognition Letters

      Volume: Vol.33、No.9 Issue: 9 Pages: 1188-1195

    • DOI

      10.1016/j.patrec.2012.01.007

    • Related Report
      2011 Annual Research Report 2011 Final Research Report
    • Peer Reviewed
  • [Presentation] Bag of Hierarchical Co-occurrence Features for Image Classification2010

    • Author(s)
      小林匠、大津展之
    • Organizer
      International Conference on Pattern Recognition(ICPR)
    • Place of Presentation
      Istanbul, Turkey
    • Year and Date
      2010-08-26
    • Related Report
      2011 Final Research Report
  • [Presentation] Bag of Hierarchical Co-occurrence Features for Image Classification2010

    • Author(s)
      小林匠, 大津展之
    • Organizer
      International Conference on Pattern Recognition (ICPR)
    • Place of Presentation
      Istanbul, Turkey
    • Year and Date
      2010-08-26
    • Related Report
      2010 Annual Research Report
  • [Presentation] 動画像による人物動作認識2009

    • Author(s)
      小林匠
    • Organizer
      第10回計測自動制御学会システムインテグレーション部門講演会
    • Place of Presentation
      芝浦工業大学(東京都)
    • Year and Date
      2009-12-25
    • Related Report
      2011 Final Research Report
  • [Presentation] 動画像による人物動作認識2009

    • Author(s)
      小林匠
    • Organizer
      第10回計測自動制御学会システムインテグレーション部門講演会
    • Place of Presentation
      芝浦工業大学
    • Year and Date
      2009-12-25
    • Related Report
      2009 Annual Research Report

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Published: 2009-04-01   Modified: 2016-04-21  

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