About: Dense Linear-Time Correspondences for Tracking

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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	A novel method is proposed for the problem of frame-to-frame correspondence search in video sequences. The method, based on hashing of low-dimensional image descriptors, establishes dense correspondences and allows large motions. All image pixels are considered for matching, the notion of interest points is reviewed. In our formulation, points of interest are those that can be reliably matched. Their saliency depends on properties of the chosen matching function and on actual image content. Both computational time and memory requirements of the correspondence search are asymptoticaly linear in the number of image pixels, irrespective of correspondence density and of image content. All steps of the method are simple and allow for a hardware implementation. Functionality is demonstrated on sequences taken from a vehicle moving in an urban environment. A novel method is proposed for the problem of frame-to-frame correspondence search in video sequences. The method, based on hashing of low-dimensional image descriptors, establishes dense correspondences and allows large motions. All image pixels are considered for matching, the notion of interest points is reviewed. In our formulation, points of interest are those that can be reliably matched. Their saliency depends on properties of the chosen matching function and on actual image content. Both computational time and memory requirements of the correspondence search are asymptoticaly linear in the number of image pixels, irrespective of correspondence density and of image content. All steps of the method are simple and allow for a hardware implementation. Functionality is demonstrated on sequences taken from a vehicle moving in an urban environment. (en) A novel method is proposed for the problem of frame-to-frame correspondence search in video sequences. The method, based on hashing of low-dimensional image descriptors, establishes dense correspondences and allows large motions. All image pixels are considered for matching, the notion of interest points is reviewed. In our formulation, points of interest are those that can be reliably matched. Their saliency depends on properties of the chosen matching function and on actual image content. Both computational time and memory requirements of the correspondence search are asymptoticaly linear in the number of image pixels, irrespective of correspondence density and of image content. All steps of the method are simple and allow for a hardware implementation. Functionality is demonstrated on sequences taken from a vehicle moving in an urban environment. (cs)
Title	Dense Linear-Time Correspondences for Tracking Dense Linear-Time Correspondences for Tracking (en) Dense Linear-Time Correspondences for Tracking (cs)
skos:prefLabel	Dense Linear-Time Correspondences for Tracking Dense Linear-Time Correspondences for Tracking (en) Dense Linear-Time Correspondences for Tracking (cs)
skos:notation	RIV/68407700:21230/08:03150860!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(1M0567)
http://linked.open...vai/riv/dodaniDat	2009
http://linked.open...aciTvurceVysledku	Matas, Jiří Obdržálek, Štěpán Perďoch, Michal
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	362502
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/08:03150860
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	correspondences; hashing; video (en)
http://linked.open.../riv/klicoveSlovo	correspondences video hashing
http://linked.open...ontrolniKodProRIV	[05FA189CF47F]
http://linked.open...v/mistoKonaniAkce	Anchorage, Alaska
http://linked.open...i/riv/mistoVydani	Piscataway
http://linked.open...i/riv/nazevZdroje	Proceedings of Workshop on Visual Localization for Mobile Platforms held in conjunction with CVPR 2008
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Centre for Applied Cybernetics
http://linked.open...UplatneniVysledku	2008
http://linked.open...iv/tvurceVysledku	Matas, Jiří Perďoch, Michal Obdržálek, Štěpán
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000260371900181
http://linked.open.../riv/zahajeniAkce	2008-07-28 (xsd:date)
issn	1063-6919
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4244-2339-2
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	Dense Linear-Time Correspondences for Tracking Dense Linear-Time Correspondences for Tracking Dense Linear-Time Correspondences for Tracking Dense Linear-Time Correspondences for Tracking

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