Taking the Temperature of Pedestrian Movement in Public Spaces

Research output: Contribution to journal › Conference article › Research › peer-review

Standard

Taking the Temperature of Pedestrian Movement in Public Spaces. / Nielsen, Søren Zebitz; Gade, Rikke; Moeslund, Thomas B.; Skov-Petersen, Hans.

In: Transportation Research Procedia, Vol. 2, 02.10.2014, p. 660-668.

Research output: Contribution to journal › Conference article › Research › peer-review

Harvard

Nielsen, SZ, Gade, R, Moeslund, TB & Skov-Petersen, H 2014, 'Taking the Temperature of Pedestrian Movement in Public Spaces', Transportation Research Procedia, vol. 2, pp. 660-668. https://doi.org/10.1016/j.trpro.2014.09.071

APA

Nielsen, S. Z., Gade, R., Moeslund, T. B., & Skov-Petersen, H. (2014). Taking the Temperature of Pedestrian Movement in Public Spaces. Transportation Research Procedia, 2, 660-668. https://doi.org/10.1016/j.trpro.2014.09.071

Vancouver

Nielsen SZ, Gade R, Moeslund TB, Skov-Petersen H. Taking the Temperature of Pedestrian Movement in Public Spaces. Transportation Research Procedia. 2014 Oct 2;2:660-668. https://doi.org/10.1016/j.trpro.2014.09.071

Author

Nielsen, Søren Zebitz ; Gade, Rikke ; Moeslund, Thomas B. ; Skov-Petersen, Hans. / Taking the Temperature of Pedestrian Movement in Public Spaces. In: Transportation Research Procedia. 2014 ; Vol. 2. pp. 660-668.

Bibtex

@inproceedings{731cf25f188249379ce0adc028a0141b,
title = "Taking the Temperature of Pedestrian Movement in Public Spaces",
abstract = "Cities require data on pedestrian movement to evaluate the use of public spaces. We propose a system using thermal cameras and Computer Vision (CV) combined with Geographical Information Systems (GIS) to track and assess pedestrian dynamics and behaviors in urban plazas. Thermal cameras operate independent of light and the technique is non-intrusive and preserves privacy. The approach extends the analysis to the GIS domain by capturing georeferenced tracks. We present a pilot study conducted in Copenhagen in 2013. The tracks retrieved by CV are compared to manually annotated ground truth tracks, and an example of pedestrian behavior is analyzed.",
keywords = "Faculty of Science, Tracking, Thermal camera, Computer Vision, GIS, Smart Cities, Pedestrian behaviors, Movement Pattern Analysis, trajectories, Visual analysis, space-time cube, Urban Plazas, Tracking, Thermal camera, Computer Vision, GIS, Smart Cities, Pedestrian behaviors, Movement Pattern Analysis, Trajectories, Visual analysis, space-time cube, Urban Plazas",
author = "Nielsen, {S{\o}ren Zebitz} and Rikke Gade and Moeslund, {Thomas B.} and Hans Skov-Petersen",
note = "Paper to: The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014), 22-24 October 2014, Delft, The Netherlands; null ; Conference date: 22-10-2014 Through 24-10-2014",
year = "2014",
month = oct,
day = "2",
doi = "10.1016/j.trpro.2014.09.071",
language = "English",
volume = "2",
pages = "660--668",
journal = "Transportation Research Procedia",
publisher = "Elsevier",

}

RIS

TY - GEN

T1 - Taking the Temperature of Pedestrian Movement in Public Spaces

AU - Nielsen, Søren Zebitz

AU - Gade, Rikke

AU - Moeslund, Thomas B.

AU - Skov-Petersen, Hans

N1 - Paper to: The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014), 22-24 October 2014, Delft, The Netherlands

PY - 2014/10/2

Y1 - 2014/10/2

N2 - Cities require data on pedestrian movement to evaluate the use of public spaces. We propose a system using thermal cameras and Computer Vision (CV) combined with Geographical Information Systems (GIS) to track and assess pedestrian dynamics and behaviors in urban plazas. Thermal cameras operate independent of light and the technique is non-intrusive and preserves privacy. The approach extends the analysis to the GIS domain by capturing georeferenced tracks. We present a pilot study conducted in Copenhagen in 2013. The tracks retrieved by CV are compared to manually annotated ground truth tracks, and an example of pedestrian behavior is analyzed.

AB - Cities require data on pedestrian movement to evaluate the use of public spaces. We propose a system using thermal cameras and Computer Vision (CV) combined with Geographical Information Systems (GIS) to track and assess pedestrian dynamics and behaviors in urban plazas. Thermal cameras operate independent of light and the technique is non-intrusive and preserves privacy. The approach extends the analysis to the GIS domain by capturing georeferenced tracks. We present a pilot study conducted in Copenhagen in 2013. The tracks retrieved by CV are compared to manually annotated ground truth tracks, and an example of pedestrian behavior is analyzed.

KW - Faculty of Science

KW - Tracking

KW - Thermal camera

KW - Computer Vision

KW - GIS

KW - Smart Cities

KW - Pedestrian behaviors

KW - Movement Pattern Analysis

KW - trajectories

KW - Visual analysis

KW - space-time cube

KW - Urban Plazas

KW - Tracking

KW - Thermal camera

KW - Computer Vision

KW - GIS

KW - Smart Cities

KW - Pedestrian behaviors

KW - Movement Pattern Analysis

KW - Trajectories

KW - Visual analysis

KW - space-time cube

KW - Urban Plazas

UR - https://youtu.be/PGP0rMr6OYg

U2 - 10.1016/j.trpro.2014.09.071

DO - 10.1016/j.trpro.2014.09.071

M3 - Conference article

VL - 2

SP - 660

EP - 668

JO - Transportation Research Procedia

JF - Transportation Research Procedia

Y2 - 22 October 2014 through 24 October 2014

ER -

ID: 128787082