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 | |
| Publication status | Published - May 1 2018 |
| Externally published | Yes |
Keywords
- deep models
- face recognition
- QUIS-CAMPI
- surveillance
ASJC Scopus subject areas
- Computer Networks and Communications
- Artificial Intelligence
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