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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citation (Scopus)

Resumé

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.
OriginalsprogEngelsk
TitelProceedings - 2018 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2018 : Cross-Domain Biometric Recognition Workshop
Antal sider9
ForlagIEEE
Publikationsdato24 apr. 2018
Sider28-36
ISBN (Elektronisk)9781538651889
DOI
StatusUdgivet - 24 apr. 2018
Begivenhed 2018 IEEE Winter Applications of Computer Vision Workshops (WACVW) - Lake Tahoe, USA
Varighed: 15 mar. 201815 mar. 2018

Konference

Konference 2018 IEEE Winter Applications of Computer Vision Workshops (WACVW)
LandUSA
ByLake Tahoe
Periode15/03/201815/03/2018

Fingerprint

Biometrics
Access control
Door handles
Control systems

Citer dette

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. I Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2018: Cross-Domain Biometric Recognition Workshop (s. 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. s. 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. i Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2018: Cross-Domain Biometric Recognition Workshop. IEEE, s. 28-36, Lake Tahoe, USA, 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. s. 28-36.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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AU - Jahromi, Mohammad Naser Sabet

AU - Bonderup, Morten Bojesen

AU - Asadi-Aghbolaghi, Maryam

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. I Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2018: Cross-Domain Biometric Recognition Workshop. IEEE. 2018. s. 28-36 https://doi.org/10.1109/WACVW.2018.00009