Video database for face recognition

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F45477388%3A_____%2F12%3A%230000025" target="_blank" >RIV/45477388:_____/12:#0000025 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26220/12:PU105773

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Video database for face recognition

Popis výsledku v původním jazyce

This paper deals with video sequences database design and assembly for face recognition system working under specific limiting conditions. Features used for recognition have to be insensitive to surroundings influences as scenario1, scene content and illumination, face dimensions and pose, image resolution etc. Since current face recognition algorithms are partially independent on surroundings and it is not easy to increase substantially face recognition systems performance, alternative approach to performance increase is to limit general operating conditions ? surroundings. This could be achieved by using training and testing databases close to expected operating condition of face recognition system. Assembled database is intended for development andtesting of face recognition system integrated in access control system. Video data were taken in an indoor environment by video surveillance cameras of various video resolutions. Database contains 5115 images of 275 human subjects. Face d

Název v anglickém jazyce

Video database for face recognition

Popis výsledku anglicky

This paper deals with video sequences database design and assembly for face recognition system working under specific limiting conditions. Features used for recognition have to be insensitive to surroundings influences as scenario1, scene content and illumination, face dimensions and pose, image resolution etc. Since current face recognition algorithms are partially independent on surroundings and it is not easy to increase substantially face recognition systems performance, alternative approach to performance increase is to limit general operating conditions ? surroundings. This could be achieved by using training and testing databases close to expected operating condition of face recognition system. Assembled database is intended for development andtesting of face recognition system integrated in access control system. Video data were taken in an indoor environment by video surveillance cameras of various video resolutions. Database contains 5115 images of 275 human subjects. Face d

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/FR-TI3%2F170" target="_blank" >FR-TI3/170: *Inteligentní videomoduly pro systémy kontroly vstupů do objektů kritické infrastruktury</a><br>

Návaznosti

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

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Annual Conference Proceedings Technical Computing Bratislava 2012

ISBN

978-80-970519-0-7

ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

12

Název nakladatele

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Místo vydání

Bratislava

Místo konání akce

Bratislava

Datum konání akce

1. 1. 2012

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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