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

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

10 Scopus citations

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
State	Published - May 1 2018
Externally published	Yes

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 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

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10.1109/MIS.2018.033001416

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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.",

keywords = "QUIS-CAMPI, deep models, face recognition, surveillance",

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Proenca, H, Nixon, M, Nappi, M, Ghaleb, E, Ozbulak, G, Gao, H, Ekenel, HK, Grm, K, Struc, V, Shi, H, Zhu, X, Liao, S, Lei, Z, Li, SZ, Gutfeter, W, Pacut, A, Brogan, J, Scheirer, WJ, Gonzalez-Sosa, E, Vera-Rodriguez, R, Fierrez, J, Ortega-Garcia, J, Riccio, D & De Maio, L 2018, 'Trends and Controversies', IEEE Intelligent Systems, vol. 33, no. 3, 8423530, pp. 41-67. https://doi.org/10.1109/MIS.2018.033001416

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Trends and Controversies

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