- "Koopman-operator Observer-based Estimation of Pedestrian Crowd Flows", World Congress of the International Federation of Automatic Control (IFAC), DOI: 10.1016/j.ifacol.2017.08.2428, July 2017, vol. 50, pp. 14028-14033. ,
Digital Video, Dynamical Systems
We 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.