Optimal Face Templates - The Next Step in Surveillance Face Recognition

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU132729" target="_blank" >RIV/00216305:26220/20:PU132729 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s10044-019-00842-y" target="_blank" >https://link.springer.com/article/10.1007/s10044-019-00842-y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10044-019-00842-y" target="_blank" >10.1007/s10044-019-00842-y</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimal Face Templates - The Next Step in Surveillance Face Recognition

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Optimal Face Templates - The Next Step in Surveillance Face Recognition

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LO1401" target="_blank" >LO1401: Interdisciplinární výzkum bezdrátových technologií</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

PATTERN ANALYSIS AND APPLICATIONS

ISSN

1433-7541

e-ISSN

1433-755X

Svazek periodika

23

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

1021-1032

Kód UT WoS článku

000528015400032

EID výsledku v databázi Scopus

2-s2.0-85070091563