文章基本信息

标题：Koopman-operator Observer-based Estimation of Pedestrian Crowd Flows
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作者：Mouhacine Benosman ; Hassan Mansour ; Vahan Huroyan 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：14028-14033
DOI：10.1016/j.ifacol.2017.08.2428
语种：English
出版社：Elsevier
摘要：AbstractWe present here some preliminary results on the problem of estimating pedestrian crowds from limited measurements. More specifically, we focus on a data-driven operator-based approach. We use the Koopman operator and its approximation with the kernel dynamic mode decomposition kDMD, to design a dynamical observer, which allows us to estimate the full crowd flow, based on a partial-view of a sensing camera. We explain the dynamical observer design, discuss its limitations, and propose some numerical simulations to validate the proposed approach.