Detail publikace

Optimal Face Templates - The Next Step in Surveillance Face Recognition

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, classi er training, classi er 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 {Poměnková}",
  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"
}