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Analysis of macroscopic flow field of crowds based on fluid dynamics for tracking individuals

Research Project

Project/Area Number 26730096
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Perceptual information processing
Research InstitutionTokyo University of Science

Principal Investigator

SUGIMURA DAISUKE  東京理科大学, 工学部電気工学科, 講師 (10712052)

Project Period (FY) 2014-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Keywords画像認識 / 流体力学 / 数値解析 / 映像認識 / 混雑環境 / 人物の行動解析
Outline of Final Research Achievements

We investigated a method for analyzing pedestrian movements under an extremely crowded scene. We consider that analyzing macroscopic flow field composed of pedestrian movements will be helpful for tracking individuals. In this research, we examined ways to analyze macroscopic movements of pedestrians in crowded scenes based on fluid dynamics. Specifically, we conducted two researches: (1) foreground (flow field) region extraction, and (2) flow field analysis based on fluid dynamics. We obtained some findings and remaining problems for macroscopic pedestrian movement analysis.

Report

(5 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • 2015 Research-status Report
  • 2014 Research-status Report
  • Research Products

    (1 results)

All 2018

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

  • [Journal Article] Online Background Subtraction with Freely Moving Cameras using Different Motion Boundaries2018

    • Author(s)
      Daisuke Sugimura, Fumihiro Teshima and Takayuki Hamamoto
    • Journal Title

      Image and Vision Computing

      Volume: 印刷中

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed

URL: 

Published: 2014-04-04   Modified: 2019-03-29  

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