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 |
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Article number | 8423530 |
Pages (from-to) | 41-67 |
Number of pages | 27 |
Journal | IEEE Intelligent Systems |
Volume | 33 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 May 2018 |
Bibliographical note
Publisher Copyright:© 2001-2011 IEEE.
Keywords
- deep models
- face recognition
- QUIS-CAMPI
- surveillance