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Statements

Subject Item

n2:RIV%2F00216305%3A26230%2F10%3APU89676%21RIV11-MSM-26230___

rdf:type

skos:Concept n13:Vysledek

dcterms:description

The paper deals with Surveillance Network Augmented by<br>Retrieval (SUNAR) system - an information retrieval based wide area<br>(video) surveillance system being developed as a free software at FIT,<br>Brno University of Technology. It contains both standard and experi-<br>mental techniques evaluated by NIST at the AVSS 2009 Multi-Camera<br>Tracking Challenge and SUNAR performed comparably well.<br>In brief, SUNAR is composed of three basic modules - video process-<br>ing, retrieval and the monitoring interface. Computer Vision Modules are<br>based on the OpenCV Library for object tracking extended by feature<br>extraction and network communication capability similar to MPEG-7.<br>Information about objects and the area under surveillance is cleaned,<br>integrated, indexed and stored in Video Retrieval Modules. They are<br>based on the PostgreSQL database extended to be capable of similarity<br>and spatio-temporal information retrieval, which is necessary for both<br>non-overlapping surveillance camer The paper deals with Surveillance Network Augmented by<br>Retrieval (SUNAR) system - an information retrieval based wide area<br>(video) surveillance system being developed as a free software at FIT,<br>Brno University of Technology. It contains both standard and experi-<br>mental techniques evaluated by NIST at the AVSS 2009 Multi-Camera<br>Tracking Challenge and SUNAR performed comparably well.<br>In brief, SUNAR is composed of three basic modules - video process-<br>ing, retrieval and the monitoring interface. Computer Vision Modules are<br>based on the OpenCV Library for object tracking extended by feature<br>extraction and network communication capability similar to MPEG-7.<br>Information about objects and the area under surveillance is cleaned,<br>integrated, indexed and stored in Video Retrieval Modules. They are<br>based on the PostgreSQL database extended to be capable of similarity<br>and spatio-temporal information retrieval, which is necessary for both<br>non-overlapping surveillance camer

dcterms:title

SUNAR: Surveillance Network Augmented by Retrieval SUNAR: Surveillance Network Augmented by Retrieval

skos:prefLabel

SUNAR: Surveillance Network Augmented by Retrieval SUNAR: Surveillance Network Augmented by Retrieval

skos:notation

RIV/00216305:26230/10:PU89676!RIV11-MSM-26230___

n3:aktivita

n15:Z

n3:aktivity

Z(MSM0021630528)

n3:dodaniDat

n11:2011

n3:domaciTvurceVysledku

n10:6343600 n10:4652738 n10:6203485

n3:druhVysledku

n7:D

n3:duvernostUdaju

n17:S

n3:entitaPredkladatele

n18:predkladatel

n3:idSjednocenehoVysledku

291045

n3:idVysledku

RIV/00216305:26230/10:PU89676

n3:jazykVysledku

n4:eng

n3:klicovaSlova

SUNAR, wide area, surveillance, video analytics, retrieval, similarity, tracking, trajectory, integration.<br>

n3:klicoveSlovo

n5:tracking n5:trajectory n5:SUNAR n5:wide%20area n5:retrieval n5:similarity n5:surveillance n5:video%20analytics n5:integration.%3Cbr%3E

n3:kontrolniKodProRIV

[8CE34DFBC937]

n3:mistoKonaniAkce

Sydney, Australia

n3:mistoVydani

Sydney

n3:nazevZdroje

ACIVS 2010

n3:obor

n19:IN

n3:pocetDomacichTvurcuVysledku

3

n3:pocetTvurcuVysledku

3

n3:rokUplatneniVysledku

n11:2010

n3:tvurceVysledku

Mlích, Jozef Chmelař, Petr Láník, Aleš

n3:typAkce

n16:WRD

n3:zahajeniAkce

2010-12-13+01:00

n3:zamer

n8:MSM0021630528

s:numberOfPages

12

n21:hasPublisher

Springer-Verlag

n14:isbn

978-1-234-56789-7

n12:organizacniJednotka

26230