Taking the temperature of pedestrian movement in public spaces

Søren Zebitz Nielsen

Taking the temperature of pedestrian movement in public spaces

Søren Zebitz Nielsen (Producer)

Landscape Architecture and Planning

5 Citations (Scopus)

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.

Original language	English
Publication date	22 Oct 2014
Publication status	Published - 22 Oct 2014
Event	The Conference on Pedestrian and Evacuation Dynamics 2014 - Hotel van der Valk, Delft, Netherlands Duration: 22 Oct 2014 → 24 Oct 2014

Conference

Conference	The Conference on Pedestrian and Evacuation Dynamics 2014
Location	Hotel van der Valk
Country/Territory	Netherlands
City	Delft
Period	22/10/2014 → 24/10/2014

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

http://youtu.be/PGP0rMr6OYg

The Conference on Pedestrian and Evacuation Dynamics 2014
Nielsen, S. Z. (Speaker)
22 Oct 2014 → 24 Oct 2014
Activity: Participating in or organising an event types › Organisation of and participation in conference

Cite this

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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",

author = "Nielsen, {S{\o}ren Zebitz}",

note = "Videos from a PhD project at University of Copenhagen on {"}Understanding Human Movement Patterns in Public Spaces.{"} ; The Conference on Pedestrian and Evacuation Dynamics 2014 ; Conference date: 22-10-2014 Through 24-10-2014",

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A2 - Nielsen, Søren Zebitz

N1 - Videos from a PhD project at University of Copenhagen on "Understanding Human Movement Patterns in Public Spaces."

PY - 2014/10/22

Y1 - 2014/10/22

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

M3 - Sound/Visual production (digital)

PB - YouTube

T2 - The Conference on Pedestrian and Evacuation Dynamics 2014

Y2 - 22 October 2014 through 24 October 2014

ER -

Taking the temperature of pedestrian movement in public spaces

Abstract

Conference

Keywords

UN SDGs

Access to Document

Fingerprint

Activities

The Conference on Pedestrian and Evacuation Dynamics 2014

Cite this