People re-identification using depth and intensity information from an overhead sensor

This work presents a new people re-identification method, using depth and intensity images, both of them captured with a single static camera, located in an overhead position. The proposed solution arises from the need that exists in many areas of application to carry out identification and re-ident...

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Detalhes bibliográficos
Autores: Luna Vázquez, Carlos Andrés, Losada Gutiérrez, Cristina|||0000-0001-9545-327X, Fuentes Jiménez, David|||0000-0001-6424-4782, Mazo Quintas, Manuel Ramón
Formato: artículo
Fecha de publicación:2021
País:España
Recursos:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/58361
Acesso em linha:http://hdl.handle.net/10017/58361
https://dx.doi.org/10.1016/j.eswa.2021.115287
Access Level:acceso abierto
Palavra-chave:People re-identification
Depth information
Intensity images
Overhead depth camera
Real-time
Electrónica
Electronics
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spelling People re-identification using depth and intensity information from an overhead sensorLuna Vázquez, Carlos AndrésLosada Gutiérrez, Cristina|||0000-0001-9545-327XFuentes Jiménez, David|||0000-0001-6424-4782Mazo Quintas, Manuel RamónPeople re-identificationDepth informationIntensity imagesOverhead depth cameraReal-timeElectrónicaElectronicsThis work presents a new people re-identification method, using depth and intensity images, both of them captured with a single static camera, located in an overhead position. The proposed solution arises from the need that exists in many areas of application to carry out identification and re-identification processes to determine, for example, the time that people remain in a certain space, while fulfilling the requirement of preserving people's privacy. This work is a novelty compared to other previous solutions, since the use of top-view images of depth and intensity allows obtaining information to perform the functions of identification and re-identification of people, maintaining their privacy and reducing occlusions. In the procedure of people identification and re-identification, only three frames of intensity and depth are used, so that the first one is obtained when the person enters the scene (frontal view), the second when it is in the central area of the scene (overhead view) and the third one when it leaves the scene (back view). In the implemented method only information from the head and shoulders of people with these three different perspectives is used. From these views three feature vectors are obtained in a simple way, two of them related to depth information and the other one related to intensity data. This increases the robustness of the method against lighting changes. The proposal has been evaluated in two different datasets and compared to other state-of-the-art proposal. The obtained results show a 96,7% success rate in re-identification, with sensors that use different operating principles, all of them obtaining depth and intensity information. Furthermore, the implemented method can work in real time on a PC, without using a GPU.Ministerio de Economía y CompetitividadAgencia Estatal de InvestigaciónUniversidad de AlcaláElsevier20212021-05-30journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/58361https://dx.doi.org/10.1016/j.eswa.2021.115287reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)InglésengMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available TIN2016-75982-C2-1-R DETECCION SEMANTICA MULTISENSORIAL DE SITUACIONES ANOMALAS EN ENTORNOS SIN RESTRICCIONESAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 TIN2016-80939-R RECONSTRUCCION DE OBJETOS DEFORMABLES A PARTIR DE IMAGENES Y SUS APLICACIONES A LA REALIDAD AUMENTADA EN CIRUGIA MINIMAMENTE INVASIVAUAH Not available CCG2019%2FIA-024UAH Not available CCG2020%2FIA-043open accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/583612026-06-18T11:13:07Z
dc.title.none.fl_str_mv People re-identification using depth and intensity information from an overhead sensor
title People re-identification using depth and intensity information from an overhead sensor
spellingShingle People re-identification using depth and intensity information from an overhead sensor
Luna Vázquez, Carlos Andrés
People re-identification
Depth information
Intensity images
Overhead depth camera
Real-time
Electrónica
Electronics
title_short People re-identification using depth and intensity information from an overhead sensor
title_full People re-identification using depth and intensity information from an overhead sensor
title_fullStr People re-identification using depth and intensity information from an overhead sensor
title_full_unstemmed People re-identification using depth and intensity information from an overhead sensor
title_sort People re-identification using depth and intensity information from an overhead sensor
dc.creator.none.fl_str_mv Luna Vázquez, Carlos Andrés
Losada Gutiérrez, Cristina|||0000-0001-9545-327X
Fuentes Jiménez, David|||0000-0001-6424-4782
Mazo Quintas, Manuel Ramón
author Luna Vázquez, Carlos Andrés
author_facet Luna Vázquez, Carlos Andrés
Losada Gutiérrez, Cristina|||0000-0001-9545-327X
Fuentes Jiménez, David|||0000-0001-6424-4782
Mazo Quintas, Manuel Ramón
author_role author
author2 Losada Gutiérrez, Cristina|||0000-0001-9545-327X
Fuentes Jiménez, David|||0000-0001-6424-4782
Mazo Quintas, Manuel Ramón
author2_role author
author
author
dc.subject.none.fl_str_mv People re-identification
Depth information
Intensity images
Overhead depth camera
Real-time
Electrónica
Electronics
topic People re-identification
Depth information
Intensity images
Overhead depth camera
Real-time
Electrónica
Electronics
description This work presents a new people re-identification method, using depth and intensity images, both of them captured with a single static camera, located in an overhead position. The proposed solution arises from the need that exists in many areas of application to carry out identification and re-identification processes to determine, for example, the time that people remain in a certain space, while fulfilling the requirement of preserving people's privacy. This work is a novelty compared to other previous solutions, since the use of top-view images of depth and intensity allows obtaining information to perform the functions of identification and re-identification of people, maintaining their privacy and reducing occlusions. In the procedure of people identification and re-identification, only three frames of intensity and depth are used, so that the first one is obtained when the person enters the scene (frontal view), the second when it is in the central area of the scene (overhead view) and the third one when it leaves the scene (back view). In the implemented method only information from the head and shoulders of people with these three different perspectives is used. From these views three feature vectors are obtained in a simple way, two of them related to depth information and the other one related to intensity data. This increases the robustness of the method against lighting changes. The proposal has been evaluated in two different datasets and compared to other state-of-the-art proposal. The obtained results show a 96,7% success rate in re-identification, with sensors that use different operating principles, all of them obtaining depth and intensity information. Furthermore, the implemented method can work in real time on a PC, without using a GPU.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-05-30
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/58361
https://dx.doi.org/10.1016/j.eswa.2021.115287
url http://hdl.handle.net/10017/58361
https://dx.doi.org/10.1016/j.eswa.2021.115287
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available TIN2016-75982-C2-1-R DETECCION SEMANTICA MULTISENSORIAL DE SITUACIONES ANOMALAS EN ENTORNOS SIN RESTRICCIONES
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 TIN2016-80939-R RECONSTRUCCION DE OBJETOS DEFORMABLES A PARTIR DE IMAGENES Y SUS APLICACIONES A LA REALIDAD AUMENTADA EN CIRUGIA MINIMAMENTE INVASIVA
UAH Not available CCG2019%2FIA-024
UAH Not available CCG2020%2FIA-043
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
collection e_Buah Biblioteca Digital Universidad de Alcalá
repository.name.fl_str_mv
repository.mail.fl_str_mv
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