Tracking the visitor: An optical indoor system for visitor research in museums

Köferl F, Jami J, Li J, Zanca D, Eskofier B, Zürl M (2023)

Publication Type: Book chapter / Article in edited volumes

Publication year: 2023

Publisher: Transcript-Verlag

Edited Volumes: AI in Museums: Reflections, Perspectives and Applications

Series: Edition Museum

Book Volume: 74

Pages Range: 287 - 294

ISBN: 9783839467107

DOI: 10.14361/9783839467107

Abstract

The analysis of the success of any exhibition depends on the visitor experience. The data required for analysis is usually painstakingly collected by hand. We propose a large-scale optical tracking pipeline to estimate visitor data such as visit trajectory, duration, and, potentially, other personal parameters like age, weight, and sex, yet remain ethically acceptable by obtaining visitor consent. We further show, in preliminary results, that the edge device has a localization error of 0.64 meters and an average precision of 0.2. With this work-in-progress, we intend to ensure a viable alternative to current data collection processes in museum research.

Authors with CRIS profile

Franz Köferl Machine Learning and Data Analytics Lab Naga Venkata Sai Jitin Jami Machine Learning and Data Analytics Lab Jindong Li Machine Learning and Data Analytics Lab Dario Zanca Machine Learning and Data Analytics Lab Björn Eskofier Machine Learning and Data Analytics Lab Matthias Zürl Machine Learning and Data Analytics Lab

How to cite

APA:

Köferl, F., Jami, J., Li, J., Zanca, D., Eskofier, B., & Zürl, M. (2023). Tracking the visitor: An optical indoor system for visitor research in museums. In Sonja Thiel, Johannes C. Bernhardt (Eds.), AI in Museums: Reflections, Perspectives and Applications. (pp. 287 - 294). Transcript-Verlag.

MLA:

Köferl, Franz, et al. "Tracking the visitor: An optical indoor system for visitor research in museums." AI in Museums: Reflections, Perspectives and Applications. Ed. Sonja Thiel, Johannes C. Bernhardt, Transcript-Verlag, 2023. 287 - 294.

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