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2017 Fiscal Year Final Research Report

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

Research Project

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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
Keywords画像認識 / 流体力学 / 数値解析
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.

Free Research Field

画像認識

URL: 

Published: 2019-03-29  

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