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11 results on '"van Schadewijk, Frank"'

1. Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control

Author

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

Subjects
Physics - Physics and Society, Computer Science - Computer Vision and Pattern Recognition
Abstract

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 addressing specific aspects of pedestrian tracking quality, including accurate crowd flux estimation, density estimation, position detection and trajectory accuracy. The output of the tests are quality factors expressed as single numbers. We provide the benchmark results for two tracking systems, both operating in real-life, one commercial, and the other based on overhead depth-maps developed at TU Eindhoven. We discuss the results on the basis of the quality factors and report on the typical sensor and algorithmic performance. This enables us to highlight the current state-of-the-art, its limitations and provide installation recommendations, with specific attention to multi-sensor setups and data stitching.

Published
2021
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2. Monitoring physical distancing for crowd management: real-time trajectory and group analysis

Author

Pouw, Caspar A. S., Toschi, Federico, van Schadewijk, Frank, and Corbetta, Alessandro

Subjects
Physics - Physics and Society
Abstract

Physical distancing, as a measure to contain the spreading of Covid-19, is defining a "new normal". Unless belonging to a family, pedestrians in shared spaces are asked to observe a minimal (country-dependent) pairwise distance. Coherently, managers of public spaces may be tasked with the enforcement or monitoring of this constraint. As privacy-respectful real-time tracking of pedestrian dynamics in public spaces is a growing reality, it is natural to leverage on these tools to analyze the adherence to physical distancing and compare the effectiveness of crowd management measurements. Typical questions are: "in which conditions non-family members infringed social distancing?", "Are there repeated offenders?", and "How are new crowd management measures performing?". Notably, dealing with large crowds, e.g. in train stations, gets rapidly computationally challenging. In this work we have a two-fold aim: first, we propose an efficient and scalable analysis framework to process, offline or in real-time, pedestrian tracking data via a sparse graph. The framework tackles efficiently all the questions mentioned above, representing pedestrian-pedestrian interactions via vector-weighted graph connections. On this basis, we can disentangle distance offenders and family members in a privacy-compliant way. Second, we present a thorough analysis of mutual distances and exposure-times in a Dutch train platform, comparing pre-Covid and current data via physics observables as Radial Distribution Functions. The versatility and simplicity of this approach, developed to analyze crowd management measures in public transport facilities, enable to tackle issues beyond physical distancing, for instance the privacy-respectful detection of groups and the analysis of their motion patterns., Comment: 12 pages

Published
2020
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3. Benchmarking High-Fidelity Pedestrian Tracking Systems for Research, Real-Time Monitoring and Crowd Control

Author

Pouw, Caspar, Willems, Joris, van Schadewijk, Frank, Thurau, Jasmin, Toschi, Federico, Corbetta, Alessandro, Pouw, Caspar, Willems, Joris, van Schadewijk, Frank, Thurau, Jasmin, Toschi, Federico, and Corbetta, Alessandro

Abstract

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. Currently, there is no established policy in this context. 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 it 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 addressing specific aspects of pedestrian tracking quality, including accurate line-based crowd flux estimation, local density estimation, individual position detection and trajectory accuracy. The output of the tests are quality factors expressed as single numbers. We provide the benchmark results for two tracking systems, both operating in real-life, one commercial, and the other based on overhead depth-maps developed at TU Eindhoven, within the Crowdflow topical group. We discuss the results on the basis of the quality factors and report on the typical sensor and algorithmic performance. This enables us to highlight the current state-of-the-art, its limitations and provide installation recommendations, with specific attention to mult

Published
2022

6. A Glossary for Research on Human Crowd Dynamics. In Collective Dynamics

Author

Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, R.J., Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Brent Sullivan, Gavin, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, Wijermans, Nanda, Sub Geometric Computing, and Geometric Computing

Abstract

This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.

Published
2019

7. A Glossary for Research on Human Crowd Dynamics. In Collective Dynamics

Author

Sub Geometric Computing, Geometric Computing, Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, R.J., Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Brent Sullivan, Gavin, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, Wijermans, Nanda, Sub Geometric Computing, Geometric Computing, Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, R.J., Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Brent Sullivan, Gavin, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, and Wijermans, Nanda

Published
2019

8. A glossary for research on human crowd dynamics

Author

Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, Roland, Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Sullivan, Gavin Brent, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, Wijermans, Nanda, Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, Roland, Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Sullivan, Gavin Brent, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, and Wijermans, Nanda

Abstract

This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.

Published
2019

9. A Glossary for Research on Human Crowd Dynamics

Author

Adrian, Juliane, primary, Bode, Nikolai, additional, Amos, Martyn, additional, Baratchi, Mitra, additional, Beermann, Mira, additional, Boltes, Maik, additional, Corbetta, Alessandro, additional, Dezecache, Guillaume, additional, Drury, John, additional, Fu, Zhijian, additional, Geraerts, Roland, additional, Gwynne, Steve, additional, Hofinger, Gesine, additional, Hunt, Aoife, additional, Kanters, Tinus, additional, Kneidl, Angelika, additional, Konya, Krisztina, additional, Köster, Gerta, additional, Küpper, Mira, additional, Michalareas, Georgios, additional, Neville, Fergus, additional, Ntontis, Evangelos, additional, Reicher, Stephen, additional, Ronchi, Enrico, additional, Schadschneider, Andreas, additional, Seyfried, Armin, additional, Shipman, Alastair, additional, Sieben, Anna, additional, Spearpoint, Michael, additional, Sullivan, Gavin Brent, additional, Templeton, Anne, additional, Toschi, Federico, additional, Yücel, Zeynep, additional, Zanlungo, Francesco, additional, Zuriguel, Iker, additional, Van derWal, Natalie, additional, van Schadewijk, Frank, additional, von Krüchten, Cornelia, additional, and Wijermans, Nanda, additional

Published
2019
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10. A Glossary for Research on Human Crowd Dynamics

Author

Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, Roland, Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Sullivan, Gavin Brent, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, Van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, Wijermans, Nanda, Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, Roland, Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Sullivan, Gavin Brent, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, Van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, and Wijermans, Nanda

Abstract

This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.

11. A Glossary for Research on Human Crowd Dynamics

Author

Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, Roland, Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Sullivan, Gavin Brent, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, Van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, Wijermans, Nanda, Adrian, Juliane, Bode, Nikolai, Amos, Martyn, Baratchi, Mitra, Beermann, Mira, Boltes, Maik, Corbetta, Alessandro, Dezecache, Guillaume, Drury, John, Fu, Zhijian, Geraerts, Roland, Gwynne, Steve, Hofinger, Gesine, Hunt, Aoife, Kanters, Tinus, Kneidl, Angelika, Konya, Krisztina, Köster, Gerta, Küpper, Mira, Michalareas, Georgios, Neville, Fergus, Ntontis, Evangelos, Reicher, Stephen, Ronchi, Enrico, Schadschneider, Andreas, Seyfried, Armin, Shipman, Alastair, Sieben, Anna, Spearpoint, Michael, Sullivan, Gavin Brent, Templeton, Anne, Toschi, Federico, Yücel, Zeynep, Zanlungo, Francesco, Zuriguel, Iker, Van der Wal, Natalie, van Schadewijk, Frank, von Krüchten, Cornelia, and Wijermans, Nanda

Abstract

This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.

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