Crowd textures as proximity graphs

Claudio Martella, Maarten van Steen, Aart van Halteren, Claudine Conrado, Jie Li

Research output: Contribution to journalArticleAcademicpeer-review

17 Citations (Scopus)

Abstract

We are only starting to understand how people behave when they are part of a crowd. This article presents a novel approach to the study and management of crowds. The approach comprises a device to be worn by individuals, an infrastructure to collect the information from the devices, a set of algorithms for recognizing crowd dynamics, and a set of feedback strategies to intervene in the crowd. A fundamental element of our approach is to consider crowds in terms of their texture. The crowd texture is represented through the proximity graph, a data structure that captures the spatial closeness relationship between individuals over time. We address its properties and limitations, a system architecture to measure and process it, and a few examples of insights that can be obtained from analyzing it.

Original languageEnglish
Article number6710072
Pages (from-to)114-121
Number of pages8
JournalIEEE communications magazine
Volume52
Issue number1
DOIs
Publication statusPublished - 2014
Externally publishedYes

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