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Benchmarking High-fidelity Pedestrian Tracking Systems for Research, Real-time Monitoring and Crowd Control by Pouw, Caspar A. S.; Willems, Joris; van Schadewijk, Frank; Thurau, Jasmin; Toschi, Federico; Corbetta, Alessandro is a scholarly article available to read on EtoBox.

What is Benchmarking High-fidelity Pedestrian Tracking Systems for Research, Real-time Monitoring and Crowd Control about?

High-fidelity pedestrian tracking in real-life conditions has been an important tool in fundamental crowd dynamics research allowing to quantify statistics of relevant observables including walking velocities, mutual distances and body orientations. As this technology advances, it is becoming increasingly useful also in society. In fact, continued urbanization is overwhelming existing pedestrian infrastructures such as transportation hubs and stations, generating an urgent need for real-time highly-accurate usage data, aiming both at flow monitoring and dynamics understanding. To successfully employ pedestrian tracking techniques in research and technology, it is crucial to validate and benchmark them for accuracy. This is not only necessary to guarantee data quality, but also to identify systematic errors. In this contribution, we present and discuss a benchmark suite, towards an open standard in the community, for privacy-respectful pedestrian tracking techniques. The suite is technology-independent and is applicable to academic and commercial pedestrian tracking systems, operating both in lab environments and real-life conditions. The benchmark suite consists of 5 tests addressi

Author

Pouw, Caspar A. S.; Willems, Joris; van Schadewijk, Frank; Thurau, Jasmin; Toschi, Federico; Corbetta, Alessandro

Published

2021

Language

EN