Methods for measuring pedestrian density, flow, speed and direction with minimal scatter

By Bernhard Steffen, Armin Seyfried. 2009

381 citations recorded by the source corpus.

The progress of image processing during recent years allows the measurement of pedestrian characteristics on a “microscopic” scale with low costs. However, density and flow are concepts of fluid mechanics defined for the limit of infinitely many particles. Standard methods of measuring these quantities locally (e.g. counting heads within a rectangle) suffer from large data scatter. The remedy of averaging over large spaces or long times reduces the possible resolution and inhibits the gain obtained by the new technologies.

Subfields: Computer Vision and Pattern Recognition, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/58858a0e9825e3382edd8ce1fc299c7ea47426b3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Andreas Schadschneider
2. Cornelia von Kruchten
3. Jun Zhang
4. Wolfram Klingsch
5. Armin Seyfried

In Ocean Engineering

1. Armin Seyfried
2. Wolfram Klingsch
3. Andreas Schadschneider
4. Cornelia von Kruchten
5. Jun Zhang
6. Dirk Helbing

Citations in the corpus

• Empirical study on social groups in pedestrian evacuation dynamics (2017, methodology): “A density profile can be determined using Voronoi diagrams [24, 25].”
• Ordering in bidirectional pedestrian flows and its influence on the fundamental diagram (2011, methodology): “In this study we use the Voronoi method [31, 32] to analyze the flows quantitatively.”