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Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion

This paper investigates the robustness of a new thermal-infrared pedestrian detection system under different outdoor environmental conditions. In first place the algorithm for pedestrian ROI extraction in thermal-infrared video based on both thermal and motion information is introduced. Then, the ev...

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Autores principales: Fernández-Caballero, Antonio, López, María T., Serrano-Cuerda, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029647/
https://www.ncbi.nlm.nih.gov/pubmed/24727500
http://dx.doi.org/10.3390/s140406666
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author Fernández-Caballero, Antonio
López, María T.
Serrano-Cuerda, Juan
author_facet Fernández-Caballero, Antonio
López, María T.
Serrano-Cuerda, Juan
author_sort Fernández-Caballero, Antonio
collection PubMed
description This paper investigates the robustness of a new thermal-infrared pedestrian detection system under different outdoor environmental conditions. In first place the algorithm for pedestrian ROI extraction in thermal-infrared video based on both thermal and motion information is introduced. Then, the evaluation of the proposal is detailed after describing the complete thermal and motion information fusion. In this sense, the environment chosen for evaluation is described, and the twelve test sequences are specified. For each of the sequences captured from a forward-looking infrared FLIR A-320 camera, the paper explains the weather and light conditions under which it was captured. The results allow us to draw firm conclusions about the conditions under which it can be affirmed that it is efficient to use our thermal-infrared proposal to robustly extract human ROIs.
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spelling pubmed-40296472014-05-22 Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion Fernández-Caballero, Antonio López, María T. Serrano-Cuerda, Juan Sensors (Basel) Article This paper investigates the robustness of a new thermal-infrared pedestrian detection system under different outdoor environmental conditions. In first place the algorithm for pedestrian ROI extraction in thermal-infrared video based on both thermal and motion information is introduced. Then, the evaluation of the proposal is detailed after describing the complete thermal and motion information fusion. In this sense, the environment chosen for evaluation is described, and the twelve test sequences are specified. For each of the sequences captured from a forward-looking infrared FLIR A-320 camera, the paper explains the weather and light conditions under which it was captured. The results allow us to draw firm conclusions about the conditions under which it can be affirmed that it is efficient to use our thermal-infrared proposal to robustly extract human ROIs. MDPI 2014-04-10 /pmc/articles/PMC4029647/ /pubmed/24727500 http://dx.doi.org/10.3390/s140406666 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Fernández-Caballero, Antonio
López, María T.
Serrano-Cuerda, Juan
Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion
title Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion
title_full Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion
title_fullStr Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion
title_full_unstemmed Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion
title_short Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion
title_sort thermal-infrared pedestrian roi extraction through thermal and motion information fusion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029647/
https://www.ncbi.nlm.nih.gov/pubmed/24727500
http://dx.doi.org/10.3390/s140406666
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