About: SUNAR-ED: Evend Detection in a Surveillance Network

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	https://sourceforge.net/projects/sunar-ed/
Description	Surveillance Network Augmented by Retrieval - Event Detection (SUNAR-ED), an open source single-camera computer vision and information-retrieval based surveillance event detection system, which is based on wide area (video) surveillance system (SUNAR). It contains state of the art and experimental methods of object tracking (OpenCV), feature extraction (MPEG-7), search (similarity, spatio-temporal) and learning (Bayes, GMM, HMM, SVM). We have deployed active learning functionality based on moving objects' trajectory statistics and shape classification using VTApi (Video Terror Application programming interface and methodology), a data base interface used for processing and efficient management, indexing, retrieval and analysis of image and video data and related metadata, which was created to unify and accelerate the intelligent vision applications development. Surveillance Network Augmented by Retrieval - Event Detection (SUNAR-ED), an open source single-camera computer vision and information-retrieval based surveillance event detection system, which is based on wide area (video) surveillance system (SUNAR). It contains state of the art and experimental methods of object tracking (OpenCV), feature extraction (MPEG-7), search (similarity, spatio-temporal) and learning (Bayes, GMM, HMM, SVM). We have deployed active learning functionality based on moving objects' trajectory statistics and shape classification using VTApi (Video Terror Application programming interface and methodology), a data base interface used for processing and efficient management, indexing, retrieval and analysis of image and video data and related metadata, which was created to unify and accelerate the intelligent vision applications development. (en)
Title	SUNAR-ED: Evend Detection in a Surveillance Network SUNAR-ED: Evend Detection in a Surveillance Network (en)
skos:prefLabel	SUNAR-ED: Evend Detection in a Surveillance Network SUNAR-ED: Evend Detection in a Surveillance Network (en)
skos:notation	RIV/00216305:26230/12:PR26587!RIV13-MSM-26230___
http://linked.open...avai/predkladatel	Fakulta informačních technologií
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(VG20102015006), Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Volf, Tomáš Chmelař, Petr Pešek, Martin
http://linked.open.../riv/druhVysledku	R - Software
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...onomickeParametry	Nepodstatné.
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	172444
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/12:PR26587
http://linked.open...terniIdentifikace	SUNAR-ED
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Surveillance, event detection, computer vision, annotation, active learning. (en)
http://linked.open.../riv/klicoveSlovo	event detection computer vision annotation active learning. Surveillance
http://linked.open...ontrolniKodProRIV	[30C57E9F7FB5]
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Tools and methods for video and image processing for the fight against terrorism
http://linked.open...UplatneniVysledku	2012
http://linked.open...echnickeParametry	Pro další informace a případné licence kontaktujte prosím ODDĚLENÍ ÚTVAR TRANSFERU TECHNOLOGIÍ VYSOKÉ UČENÍ TECHNICKÉ V BRNĚ Kounicova 966/67a 601 90 Brno telefon: 541 144 217 fax: 541 144 232 e-mail: info@tt.vutbr.cz http://www.vutbr.cz/utt
http://linked.open...iv/tvurceVysledku	Chmelař, Petr Pešek, Martin Volf, Tomáš
http://linked.open...avai/riv/vlastnik	Vysoké učení technické v Brně
http://linked.open...itiJinymSubjektem	N - Nabytí licence není nutné (výsledek není licencován)
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
http://localhost/t...ganizacniJednotka	26230

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