Title
Matching Images Of Never-Before-Seen Individuals In Large Law Enforcement Databases
Abstract
A method is developed for extraction of robust human facial features that can be used on never-before-seen individuals in homeland security tasks such as human tracking or matching photos of dead against missing individuals (e.g. recent Asian tsunami aftermath). © Springer-Verlag Berlin Heidelberg 2006.
Publication Date
1-1-2006
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
3975 LNCS
Number of Pages
766-767
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/11760146_125
Copyright Status
Unknown
Socpus ID
33745893777 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33745893777
STARS Citation
Kursun, Olcay; Reynolds, Kenneth M.; and Favorov, Oleg, "Matching Images Of Never-Before-Seen Individuals In Large Law Enforcement Databases" (2006). Scopus Export 2000s. 9150.
https://stars.library.ucf.edu/scopus2000/9150