Trends and Controversies

Hugo Proenca; Mark Nixon; Michele Nappi; Esam Ghaleb; Gokhan Ozbulak; Hua Gao; Hazim Kemal Ekenel; Klemen Grm; Vitomir Struc; Hailin Shi; Xiangyu Zhu; Shengcai Liao; Zhen Lei; Stan Z. Li; Weronika Gutfeter; Andrzej Pacut; Joel Brogan; Walter J. Scheirer; Ester Gonzalez-Sosa; Ruben Vera-Rodriguez; Julian Fierrez; Javier Ortega-Garcia; Daniel Riccio; Luigi De Maio

doi:10.1109/MIS.2018.033001416

Trends and Controversies

Hugo Proenca
, Mark Nixon
, Michele Nappi
, Esam Ghaleb
, Gokhan Ozbulak
, Hua Gao
, Hazim Kemal Ekenel
, Klemen Grm
, Vitomir Struc
, Hailin Shi
, Xiangyu Zhu
, Shengcai Liao
, Zhen Lei
, Stan Z. Li
, Weronika Gutfeter
, Andrzej Pacut
, Joel Brogan
, Walter J. Scheirer
, Ester Gonzalez-Sosa
, Ruben Vera-Rodriguez

Julian Fierrez, Javier Ortega-Garcia, Daniel Riccio, Luigi De Maio

Department of Computer Engineering

University of Beira Interior
University of Southampton
University of Salerno
Maastricht University
Istanbul Technical University
SensoMotoric Instruments (SMI)
University of Ljubljana
Chinese Academy of Sciences
Research and Academic Computer Network
Warsaw University of Technology
University of Notre Dame
Universidad Autónoma de Madrid
University of Naples Federico II
Biometric and Imaging Processing Laboratory (BIPLab)

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

Performing covert biometric recognition in surveillance environments has been regarded as a grand challenge, considering the adversity of the conditions where recognition should be carried out (e.g., poor resolution, bad lighting, off-pose and partially occluded data). This special issue compiles a group of approaches to this problem.

Original language	English
Article number	8423530
Pages (from-to)	41-67
Number of pages	27
Journal	IEEE Intelligent Systems
Volume	33
Issue number	3
DOIs	https://doi.org/10.1109/MIS.2018.033001416
Publication status	Published - 1 May 2018

Bibliographical note

Publisher Copyright:
© 2001-2011 IEEE.

Funding

This work is supported by ‘’FCT – Fundação para a Ciência e Tecnologia” (Portugal), through the project “UID/EEA/50008/2013”. This work has been partially supported by project CogniMetrics TEC2015-70627-R (MINECO/FEDER). E. GonzalezSosa is supported by a PhD scholarship from Universidad Au-tonoma de Madrid. This work was supported by TUBITAK project number 113E067 and by a Marie Curie FP7 Integration Grant within the 7th EU Framework Programme.

Funders	Funder number
7th EU Framework Programme
MINECO/FEDER
TUBITAK	113E067
Fundo Regional para a Ciência e Tecnologia	UID/EEA/50008/2013
Marie Curie
Fundação para a Ciência e a Tecnologia
Universidad Autónoma de Madrid

Keywords

QUIS-CAMPI
deep models
face recognition
surveillance

Access to Document

10.1109/MIS.2018.033001416

Cite this

Proenca, H., Nixon, M., Nappi, M., Ghaleb, E., Ozbulak, G., Gao, H., Ekenel, H. K., Grm, K., Struc, V., Shi, H., Zhu, X., Liao, S., Lei, Z., Li, S. Z., Gutfeter, W., Pacut, A., Brogan, J., Scheirer, W. J., Gonzalez-Sosa, E., ... De Maio, L. (2018). Trends and Controversies. IEEE Intelligent Systems, 33(3), 41-67. Article 8423530. https://doi.org/10.1109/MIS.2018.033001416

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abstract = "Performing covert biometric recognition in surveillance environments has been regarded as a grand challenge, considering the adversity of the conditions where recognition should be carried out (e.g., poor resolution, bad lighting, off-pose and partially occluded data). This special issue compiles a group of approaches to this problem.",

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AU - Proenca, Hugo

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AU - Ekenel, Hazim Kemal

AU - Grm, Klemen

AU - Struc, Vitomir

AU - Shi, Hailin

AU - Zhu, Xiangyu

AU - Liao, Shengcai

AU - Lei, Zhen

AU - Li, Stan Z.

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AU - Pacut, Andrzej

AU - Brogan, Joel

AU - Scheirer, Walter J.

AU - Gonzalez-Sosa, Ester

AU - Vera-Rodriguez, Ruben

AU - Fierrez, Julian

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AU - Riccio, Daniel

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Trends and Controversies

Abstract

Bibliographical note

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Keywords

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