Automatic Access Control Based on Face and Hand Biometrics in A Non-Cooperative Context

Mohammad Naser Sabet Jahromi, Morten Bojesen Bonderup, Maryam Asadi-Aghbolaghi, Egils Avots, Kamal Nasrollahi, Sergio Escalera Guerrero, Shohreh Kasaei, Thomas B. Moeslund, Gholamreza Anbarjafari

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

Automatic access control systems (ACS) based on the human biometrics or physical tokens are widely employed in public and private areas. Yet these systems, in their conventional forms, are restricted to active interaction from the
users. In scenarios where users are not cooperating with the system, these systems are challenged. Failure in cooperation with the biometric systems might be intentional or because the users are incapable of handling the interaction
procedure with the biometric system or simply forget to cooperate with it, due to for example, illness like dementia. This work introduces a challenging bimodal database, including face and hand information of the users when they approach a door to open it by its handle in a noncooperative context. We have defined two (an easy and a challenging) protocols on how to use the database. We have reported results on many baseline methods, including deep learning techniques as well as conventional methods on the database. The obtained results show the merit of the proposed database and the challenging nature of access control with non-cooperative users.
Original languageEnglish
Title of host publicationProceedings - 2018 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2018 : Cross-Domain Biometric Recognition Workshop
Number of pages9
PublisherIEEE
Publication date24 Apr 2018
Pages28-36
ISBN (Electronic)9781538651889
DOIs
Publication statusPublished - 24 Apr 2018
Event 2018 IEEE Winter Applications of Computer Vision Workshops (WACVW) - Lake Tahoe, United States
Duration: 15 Mar 201815 Mar 2018

Conference

Conference 2018 IEEE Winter Applications of Computer Vision Workshops (WACVW)
CountryUnited States
CityLake Tahoe
Period15/03/201815/03/2018

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Biometrics
Access control
Door handles
Control systems

Cite this

Jahromi, M. N. S., Bonderup, M. B., Asadi-Aghbolaghi, M., Avots, E., Nasrollahi, K., Guerrero, S. E., ... Anbarjafari, G. (2018). Automatic Access Control Based on Face and Hand Biometrics in A Non-Cooperative Context. In Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2018: Cross-Domain Biometric Recognition Workshop (pp. 28-36). IEEE. https://doi.org/10.1109/WACVW.2018.00009
Jahromi, Mohammad Naser Sabet ; Bonderup, Morten Bojesen ; Asadi-Aghbolaghi, Maryam ; Avots, Egils ; Nasrollahi, Kamal ; Guerrero, Sergio Escalera ; Kasaei, Shohreh ; Moeslund, Thomas B. ; Anbarjafari, Gholamreza . / Automatic Access Control Based on Face and Hand Biometrics in A Non-Cooperative Context. Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2018: Cross-Domain Biometric Recognition Workshop. IEEE, 2018. pp. 28-36
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abstract = "Automatic access control systems (ACS) based on the human biometrics or physical tokens are widely employed in public and private areas. Yet these systems, in their conventional forms, are restricted to active interaction from theusers. In scenarios where users are not cooperating with the system, these systems are challenged. Failure in cooperation with the biometric systems might be intentional or because the users are incapable of handling the interactionprocedure with the biometric system or simply forget to cooperate with it, due to for example, illness like dementia. This work introduces a challenging bimodal database, including face and hand information of the users when they approach a door to open it by its handle in a noncooperative context. We have defined two (an easy and a challenging) protocols on how to use the database. We have reported results on many baseline methods, including deep learning techniques as well as conventional methods on the database. The obtained results show the merit of the proposed database and the challenging nature of access control with non-cooperative users.",
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Jahromi, MNS, Bonderup, MB, Asadi-Aghbolaghi, M, Avots, E, Nasrollahi, K, Guerrero, SE, Kasaei, S, Moeslund, TB & Anbarjafari, G 2018, Automatic Access Control Based on Face and Hand Biometrics in A Non-Cooperative Context. in Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2018: Cross-Domain Biometric Recognition Workshop. IEEE, pp. 28-36, 2018 IEEE Winter Applications of Computer Vision Workshops (WACVW), Lake Tahoe, United States, 15/03/2018. https://doi.org/10.1109/WACVW.2018.00009

Automatic Access Control Based on Face and Hand Biometrics in A Non-Cooperative Context. / Jahromi, Mohammad Naser Sabet; Bonderup, Morten Bojesen; Asadi-Aghbolaghi, Maryam ; Avots, Egils; Nasrollahi, Kamal; Guerrero, Sergio Escalera; Kasaei, Shohreh ; Moeslund, Thomas B.; Anbarjafari, Gholamreza .

Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2018: Cross-Domain Biometric Recognition Workshop. IEEE, 2018. p. 28-36.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AU - Jahromi, Mohammad Naser Sabet

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AU - Avots, Egils

AU - Nasrollahi, Kamal

AU - Guerrero, Sergio Escalera

AU - Kasaei, Shohreh

AU - Moeslund, Thomas B.

AU - Anbarjafari, Gholamreza

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Jahromi MNS, Bonderup MB, Asadi-Aghbolaghi M, Avots E, Nasrollahi K, Guerrero SE et al. Automatic Access Control Based on Face and Hand Biometrics in A Non-Cooperative Context. In Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2018: Cross-Domain Biometric Recognition Workshop. IEEE. 2018. p. 28-36 https://doi.org/10.1109/WACVW.2018.00009