About: Incremental learning and validation of sequential predictors in video browsing application

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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)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Loss-of-track detection (tracking validation) and automatic tracker adaptation to new object appearances are attractive topics in computer vision. We apply very efficient learnable sequential predictors in order to address both issues. Validation is done by clustering of the sequential predictor responses. No aditional object model for validation is needed. The paper also proposes an incremental learning procedure that accommodates changing object appearance, which mainly improves the recall of the tracker/detector. Exemplars for the incremental learning are collected automatically, no user interaction is required. The aditional training examples are selected automatically using the tracker stability computed for each potential aditional training example. Coupled with a sparsely applied SIFT or SURF based detector the method is employed for object localization in videos. Our Matlab implementation scans videosequences up to eight times faster than the actual frame rate. A standard-lengt Loss-of-track detection (tracking validation) and automatic tracker adaptation to new object appearances are attractive topics in computer vision. We apply very efficient learnable sequential predictors in order to address both issues. Validation is done by clustering of the sequential predictor responses. No aditional object model for validation is needed. The paper also proposes an incremental learning procedure that accommodates changing object appearance, which mainly improves the recall of the tracker/detector. Exemplars for the incremental learning are collected automatically, no user interaction is required. The aditional training examples are selected automatically using the tracker stability computed for each potential aditional training example. Coupled with a sparsely applied SIFT or SURF based detector the method is employed for object localization in videos. Our Matlab implementation scans videosequences up to eight times faster than the actual frame rate. A standard-lengt (en)
Title	Incremental learning and validation of sequential predictors in video browsing application Incremental learning and validation of sequential predictors in video browsing application (en)
skos:prefLabel	Incremental learning and validation of sequential predictors in video browsing application Incremental learning and validation of sequential predictors in video browsing application (en)
skos:notation	RIV/68407700:21230/10:00175502!RIV11-GA0-21230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP103/10/1585)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Svoboda, Tomáš Hurych, David
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	263389
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/10:00175502
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	predictors; incremental; learning; validation; video; browsing (en)
http://linked.open.../riv/klicoveSlovo	incremental learning predictors video validation browsing
http://linked.open...ontrolniKodProRIV	[CE58D337A798]
http://linked.open...v/mistoKonaniAkce	Angers
http://linked.open...i/riv/mistoVydani	Setúbal
http://linked.open...i/riv/nazevZdroje	VISIGRAPP 2010: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Advanced predictors for object detection and tracking in video
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Svoboda, Tomáš Hurych, David
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-05-17 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Institute for Systems and Technologies of Information, Control and Communication
https://schema.org/isbn	978-989-674-028-3
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	Incremental learning and validation of sequential predictors in video browsing application Incremental learning and validation of sequential predictors in video browsing application Incremental learning and validation of sequential predictors in video browsing application

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