Hybrid Tracking System for Pedestrians in Dense Crowds

Jette Schumann (), Maik Boltes () and Armin Seyfried ()
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Jette Schumann: Forschungszentrum Jülich, Institute for Advanced Simulation
Maik Boltes: Forschungszentrum Jülich, Institute for Advanced Simulation
Armin Seyfried: Forschungszentrum Jülich, Institute for Advanced Simulation

A chapter in Traffic and Granular Flow '17, 2019, pp 195-203 from Springer

Abstract: Abstract For a proper understanding and modeling of pedestrian dynamics reliable empirical data are needed. Often the level of heterogeneity of pedestrians in laboratory experiments does not correspond with the level in the field. New studies have been carried out to examine one factor of heterogeneity by considering people with physical, mental, and age-related disabilities. In these studies a novel hybrid tracking system consisting of a camera system and inertial measurement units (IMUs) was used for the first time. The use of IMUs solves the critical issue of occlusion caused by the perspective view of the camera system and different body heights expected for participating wheelchair users in dense crowds. The IMUs act as an extension of the camera system to enable a complete data extraction of the participants’ trajectories and gathering of additional movement data. This paper focuses on the hybrid tracking system and proposes a tracking procedure for wheelchair users participating in these studies.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-11440-4_23

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DOI: 10.1007/978-3-030-11440-4_23

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