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Detail publikace
MALACH, T. POMĚNKOVÁ, J.
Originální název
Optimal Face Templates - The Next Step in Surveillance Face Recognition
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
The paper deals with surveillance face recognition in security applications such as surveillance camera systems or access control systems. Presented research is focused on enhancing recognition performance, reducing classification time and memory requirements. We aim to make it feasible to implement face recognition in end devices such as cameras, identification terminals or popular IoT devices. Therefore we utilize algorithms that require low computational power and optimize them in order to reach higher recognition rates. We present a novel higher quantile method that enhances recognition performance via creation of robust and representative face templates for nearest neighbor classifier. Templates computed by the higher quantile method are determined by tolerance intervals which handle feature variability caused by face pose, expression, illumination and possible low image quality. The recognition performance evaluation has been conducted on images captured by surveillance camera system that are contained in unique IFaViD dataset. The IFaViD is the only one dataset captured by real surveillance camera system containing complex scenarios. The results show that the higher quantile method outperforms the contemporary approaches by 4% respectively 10% depending on the IFaViD's test subset.
Klíčová slova
Template creation, multiple training images, surveillance face, recognition, classier training, classier learning
Autoři
MALACH, T.; POMĚNKOVÁ, J.
Vydáno
29. 5. 2020
Nakladatel
Springer Link
ISSN
1433-7541
Periodikum
PATTERN ANALYSIS AND APPLICATIONS
Ročník
23
Číslo
2
Stát
Spojené království Velké Británie a Severního Irska
Strany od
1021
Strany do
1032
Strany počet
12
URL
https://link.springer.com/article/10.1007/s10044-019-00842-y
BibTex
@article{BUT157785, author="Tobiáš {Malach} and Jitka {Dluhá}", title="Optimal Face Templates - The Next Step in Surveillance Face Recognition", journal="PATTERN ANALYSIS AND APPLICATIONS", year="2020", volume="23", number="2", pages="1021--1032", doi="10.1007/s10044-019-00842-y", issn="1433-7541", url="https://link.springer.com/article/10.1007/s10044-019-00842-y" }