Taking the Temperature of Pedestrian Movement in Public Spaces
Research output: Contribution to journal › Conference article › Research › peer-review
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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
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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