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Authors: Tobias Bolten 1 ; Regina Pohle-Fröhlich 1 ; Dorothee Volker 2 ; Clemens Brück 2 ; Nicolas Beucker 2 and Hans-Günter Hirsch 1

Affiliations: 1 Institute of Pattern Recognition, Niederrhein University of Applied Sciences, Reinarzstr. 49, Krefeld, Germany ; 2 Competence Center for Social Urban Design, Niederrhein University of Applied Sciences, Frankenring 20, Krefeld, Germany

Keyword(s): Activity Visualization, Heat Map, Long-Term Monitoring, Dynamic Vision Sensor.

Abstract: In the context of urban planning, a detailed knowledge of the considered space and its utilization is essential. However, manual observations are often not performed due to cost. Whereas sensor-based systems are often not installed due to possible constrains caused by data protection laws and user privacy-concerns. We addressed these concerns and developed a privacy-aware, sensor-based processing pipeline for detecting objects based on an analysis of signals from several sensors. These detections are used for their mapping and visualization in a global bird eye view. Besides a data normalization, which is crucial considering sections of different lengths, multiple variations of activity visualization applying heat maps are described. This includes the utilization of background representations with different levels of details, different accumulations of object detections through the adjustment of the performed spatial binning as well as applying different colormaps. Both sequential co lormaps and diverging colormaps with and without perceptually uniform distances were considered. These variations were evaluated in a conducted online survey addressing professional urban planners as well as interested citizens. The results of this survey were used to determine a meaningful default setup for visualizing the activities in an interactive graphical user interface. This interface is intended to make the results of the performed long-term monitoring generally accessible. (More)

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Paper citation in several formats:
Bolten, T.; Pohle-Fröhlich, R.; Volker, D.; Brück, C.; Beucker, N. and Hirsch, H. (2022). Visualization of Activity Data from a Sensor-based Long-term Monitoring Study at a Playground. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - IVAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 146-155. DOI: 10.5220/0010798700003124

@conference{ivapp22,
author={Tobias Bolten. and Regina Pohle{-}Fröhlich. and Dorothee Volker. and Clemens Brück. and Nicolas Beucker. and Hans{-}Günter Hirsch.},
title={Visualization of Activity Data from a Sensor-based Long-term Monitoring Study at a Playground},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - IVAPP},
year={2022},
pages={146-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010798700003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - IVAPP
TI - Visualization of Activity Data from a Sensor-based Long-term Monitoring Study at a Playground
SN - 978-989-758-555-5
IS - 2184-4321
AU - Bolten, T.
AU - Pohle-Fröhlich, R.
AU - Volker, D.
AU - Brück, C.
AU - Beucker, N.
AU - Hirsch, H.
PY - 2022
SP - 146
EP - 155
DO - 10.5220/0010798700003124
PB - SciTePress