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Pedestrian Counting with Occlusion Handling Using Stereo Thermal Cameras

The number of pedestrians walking the streets or gathered in public spaces is a valuable piece of information for shop owners, city governments, event organizers and many others. However, automatic counting that takes place day and night is challenging due to changing lighting conditions and the com...

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Autores principales: Kristoffersen, Miklas S., Dueholm, Jacob V., Gade, Rikke, Moeslund, Thomas B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732095/
https://www.ncbi.nlm.nih.gov/pubmed/26742047
http://dx.doi.org/10.3390/s16010062
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author Kristoffersen, Miklas S.
Dueholm, Jacob V.
Gade, Rikke
Moeslund, Thomas B.
author_facet Kristoffersen, Miklas S.
Dueholm, Jacob V.
Gade, Rikke
Moeslund, Thomas B.
author_sort Kristoffersen, Miklas S.
collection PubMed
description The number of pedestrians walking the streets or gathered in public spaces is a valuable piece of information for shop owners, city governments, event organizers and many others. However, automatic counting that takes place day and night is challenging due to changing lighting conditions and the complexity of scenes with many people occluding one another. To address these challenges, this paper introduces the use of a stereo thermal camera setup for pedestrian counting. We investigate the reconstruction of 3D points in a pedestrian street with two thermal cameras and propose an algorithm for pedestrian counting based on clustering and tracking of the 3D point clouds. The method is tested on two five-minute video sequences captured at a public event with a moderate density of pedestrians and heavy occlusions. The counting performance is compared to the manually annotated ground truth and shows success rates of 95.4% and 99.1% for the two sequences.
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spelling pubmed-47320952016-02-12 Pedestrian Counting with Occlusion Handling Using Stereo Thermal Cameras Kristoffersen, Miklas S. Dueholm, Jacob V. Gade, Rikke Moeslund, Thomas B. Sensors (Basel) Article The number of pedestrians walking the streets or gathered in public spaces is a valuable piece of information for shop owners, city governments, event organizers and many others. However, automatic counting that takes place day and night is challenging due to changing lighting conditions and the complexity of scenes with many people occluding one another. To address these challenges, this paper introduces the use of a stereo thermal camera setup for pedestrian counting. We investigate the reconstruction of 3D points in a pedestrian street with two thermal cameras and propose an algorithm for pedestrian counting based on clustering and tracking of the 3D point clouds. The method is tested on two five-minute video sequences captured at a public event with a moderate density of pedestrians and heavy occlusions. The counting performance is compared to the manually annotated ground truth and shows success rates of 95.4% and 99.1% for the two sequences. MDPI 2016-01-05 /pmc/articles/PMC4732095/ /pubmed/26742047 http://dx.doi.org/10.3390/s16010062 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kristoffersen, Miklas S.
Dueholm, Jacob V.
Gade, Rikke
Moeslund, Thomas B.
Pedestrian Counting with Occlusion Handling Using Stereo Thermal Cameras
title Pedestrian Counting with Occlusion Handling Using Stereo Thermal Cameras
title_full Pedestrian Counting with Occlusion Handling Using Stereo Thermal Cameras
title_fullStr Pedestrian Counting with Occlusion Handling Using Stereo Thermal Cameras
title_full_unstemmed Pedestrian Counting with Occlusion Handling Using Stereo Thermal Cameras
title_short Pedestrian Counting with Occlusion Handling Using Stereo Thermal Cameras
title_sort pedestrian counting with occlusion handling using stereo thermal cameras
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732095/
https://www.ncbi.nlm.nih.gov/pubmed/26742047
http://dx.doi.org/10.3390/s16010062
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